modelId stringlengths 4 81 | tags list | pipeline_tag stringclasses 17
values | config dict | downloads int64 0 59.7M | first_commit timestamp[ns, tz=UTC] | card stringlengths 51 438k | embedding list |
|---|---|---|---|---|---|---|---|
ChrisP/xlm-roberta-base-finetuned-marc-en | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language:
- th
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Thai
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mo... | [
-0.03697489574551582,
-0.009386682882905006,
-0.0019393006805330515,
0.046588826924562454,
0.03888937458395958,
0.01816534623503685,
-0.0123638566583395,
-0.004438045434653759,
-0.02434336207807064,
0.07331392168998718,
0.02646961808204651,
-0.04813266173005104,
0.01754891313612461,
0.0215... |
ChrisVCB/DialoGPT-medium-ej | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 13 | null | ---
language:
- 'no'
- sv
- da
- multilingual
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
- mozilla-foundation/common_voice_11_0
- mozilla-foundation/common_voice_11_0
- babelbox/babelbox_voice
- NbAiLab/NST
- NbAiLab/NPSC
- google/fleurs
- google/... | [
-0.03878990560770035,
0.0011712282430380583,
0.0010056319879367948,
0.034752435982227325,
0.04273723065853119,
0.0017287246882915497,
-0.007497599348425865,
-0.005464465823024511,
-0.026531290262937546,
0.0713934376835823,
0.021771883592009544,
-0.046502355486154556,
0.01193909253925085,
0... |
ChristopherA08/IndoELECTRA | [
"pytorch",
"electra",
"pretraining",
"id",
"dataset:oscar",
"transformers"
] | null | {
"architectures": [
"ElectraForPreTraining"
],
"model_type": "electra",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 4 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like cluste... | [
-0.03777885437011719,
-0.015979576855897903,
-0.016298335045576096,
0.050821661949157715,
0.010902022942900658,
0.04409779608249664,
-0.01760229282081127,
-0.0031471995171159506,
-0.06943868100643158,
0.082993283867836,
0.04069855064153671,
0.013096686452627182,
0.0025786764454096556,
0.04... |
ChukSamuels/DialoGPT-small-Dr.FauciBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 13 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-cased-finetuned-chemistry
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
#... | [
-0.029409153386950493,
-0.004672296345233917,
-0.009332655929028988,
0.036578789353370667,
0.027706807479262352,
0.016479115933179855,
-0.0183271374553442,
-0.010767731815576553,
-0.04934832826256752,
0.04683466628193855,
0.012821548618376255,
-0.004819235764443874,
0.03223178908228874,
0.... |
Chun/DialoGPT-large-dailydialog | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 6 | 2022-12-09T08:52:24Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
-0.040875572711229324,
-0.001974437851458788,
-0.008700122125446796,
0.04952472448348999,
0.028418343514204025,
0.02155785821378231,
-0.02510935440659523,
-0.037022534757852554,
-0.006174528039991856,
0.04873771592974663,
0.01846281997859478,
-0.00893410388380289,
0.02187536656856537,
0.03... |
Chun/w-en2zh-hsk | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 1 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
model-index:
- name: test-trainer-push
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ... | [
-0.028982331976294518,
-0.006425289902836084,
-0.019570643082261086,
0.04340331256389618,
0.06239539384841919,
0.018095826730132103,
0.005211902782320976,
-0.020169660449028015,
-0.04067034274339676,
0.06266359984874725,
0.008170011453330517,
-0.008747916668653488,
0.024779606610536575,
0.... |
Chun/w-zh2en-mtm | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 8 | null | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: prd-image-search
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.7757009267807007
---
# prd-image-search
... | [
-0.020960241556167603,
0.003403211012482643,
0.017540715634822845,
0.044533051550388336,
0.014272145926952362,
0.00008105390588752925,
-0.02835981734097004,
-0.007126952987164259,
-0.011213288642466068,
0.052296072244644165,
0.021399030461907387,
0.0013515952741727233,
0.014147520996630192,
... |
Chun/w-zh2en-mto | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 7 | 2022-12-09T09:17:18Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### heightmapsstyle Dreambooth model trained by oacev with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab... | [
-0.028567802160978317,
-0.024350201711058617,
-0.029762782156467438,
0.029673252254724503,
0.026994142681360245,
0.01399429701268673,
-0.011373073793947697,
-0.0029990654438734055,
-0.012560056522488594,
0.03336618095636368,
0.038558684289455414,
0.015506207942962646,
-0.015165764838457108,
... |
Chungu424/qazwsx | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-12-09T09:18:44Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: reidar123s
---
### reidartest10 Dreambooth model trained by duja1 with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the None base model
You run your new concept via `diffusers` [Co... | [
-0.02538863942027092,
-0.02681545726954937,
-0.014288157224655151,
0.024683719500899315,
0.030241990461945534,
0.021014412865042686,
-0.03547898307442665,
-0.03421083837747574,
-0.0319594144821167,
0.050300657749176025,
0.026448113843798637,
0.0004636833618860692,
-0.019832434132695198,
0.... |
Chungu424/repodata | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-12-09T09:22:24Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03724744915962219,
-0.0025917452294379473,
-0.004780541639775038,
0.02556484006345272,
0.04569973051548004,
-0.02160758711397648,
-0.005138959735631943,
-0.027496811002492905,
-0.03339482098817825,
0.06640631705522537,
0.03259139880537987,
-0.023405030369758606,
0.022877339273691177,
0.... |
Chuu/Chumar | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71... | [
-0.020156286656856537,
-0.015200212597846985,
-0.006712716072797775,
0.029832560569047928,
0.04670754447579384,
-0.0020968038588762283,
-0.020023979246616364,
0.0008000080124475062,
-0.04033566266298294,
0.05618457868695259,
0.01080990768969059,
-0.010415101423859596,
0.009488299489021301,
... |
Cinnamon/electra-small-japanese-discriminator | [
"pytorch",
"electra",
"pretraining",
"ja",
"transformers",
"license:apache-2.0"
] | null | {
"architectures": [
"ElectraForPreTraining"
],
"model_type": "electra",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 419 | 2022-12-09T09:30:41Z | ---
tags:
- autotrain
- summarization
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- Aman6917/autotrain-data-fine_tune_tscholak
co2_eq_emissions:
emissions: 11.023749088725205
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 2392374839
- CO2 Emissions (in grams): 11.0... | [
-0.01835942082107067,
-0.020891157910227776,
0.005944087170064449,
0.025438539683818817,
0.03432748466730118,
0.01340935006737709,
-0.037602152675390244,
-0.017847875133156776,
-0.04978328198194504,
0.08152806013822556,
0.023867066949605942,
0.02439374104142189,
0.006426647305488586,
0.034... |
Cinnamon/electra-small-japanese-generator | [
"pytorch",
"electra",
"fill-mask",
"ja",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"ElectraForMaskedLM"
],
"model_type": "electra",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 19 | null | ---
tags:
- autotrain
- summarization
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- Aman6917/autotrain-data-fine_tune_tscholak
co2_eq_emissions:
emissions: 11.391305693656719
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 2392374841
- CO2 Emissions (in grams): 11.3... | [
-0.018531575798988342,
-0.02155526913702488,
0.00505558168515563,
0.025568757206201553,
0.034075748175382614,
0.013504492118954659,
-0.03674917668104172,
-0.01956627331674099,
-0.049175508320331573,
0.08156194537878036,
0.024376165121793747,
0.023453285917639732,
0.006249403115361929,
0.03... |
ClaudeYang/awesome_fb_model | [
"pytorch",
"bart",
"text-classification",
"dataset:multi_nli",
"transformers",
"zero-shot-classification"
] | zero-shot-classification | {
"architectures": [
"BartForSequenceClassification"
],
"model_type": "bart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 26 | null | ---
language:
- bg
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Bg - Yonchevisky_tes2t
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
... | [
-0.03763118013739586,
-0.0027017644606530666,
-0.018876155838370323,
0.04860528185963631,
0.05153941735625267,
0.02052995190024376,
-0.007980793714523315,
-0.0014212169917300344,
-0.029648158699274063,
0.06814306229352951,
0.03157157450914383,
-0.028542933985590935,
0.0033634614665061235,
... |
CleveGreen/FieldClassifier_v2 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 46 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03742479160428047,
-0.0025979438796639442,
-0.004951830022037029,
0.025722090154886246,
0.045676615089178085,
-0.021348170936107635,
-0.005208401475101709,
-0.028282154351472855,
-0.0334763266146183,
0.06652018427848816,
0.03241152688860893,
-0.023822737857699394,
0.023012647405266762,
... |
CleveGreen/FieldClassifier_v2_gpt | [
"pytorch",
"gpt2",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"GPT2ForSequenceClassification"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 26 | 2022-12-09T09:52:44Z | ---
datasets:
- EvaKlimentova/knots_AF
---
# M1 - finetuned DistillProtBert
The model is trained on [knots_AF dataset](https://huggingface.co/datasets/EvaKlimentova/knots_AF)
The accuracy on the test set is ~ 0.9787 | [
-0.029669342562556267,
-0.003563589882105589,
-0.00046030490193516016,
0.028131157159805298,
0.04840834438800812,
0.01691361702978611,
-0.04480297490954399,
-0.0016555438051000237,
-0.05995790660381317,
0.033064842224121094,
0.004273321479558945,
-0.005460850894451141,
0.015058537013828754,
... |
CleveGreen/JobClassifier_v2 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 37 | 2022-12-09T09:56:57Z | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: prdgrp-image-search
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9108911156654358
---
# prdgrp-image-s... | [
-0.030510272830724716,
0.0008194147958420217,
0.021066902205348015,
0.04908788949251175,
0.013586154207587242,
-0.006869579199701548,
-0.02714003622531891,
-0.002763497643172741,
-0.005196681246161461,
0.0472358837723732,
0.010342850349843502,
0.0015068232314661145,
0.014181200414896011,
0... |
CleveGreen/JobClassifier_v2_gpt | [
"pytorch",
"gpt2",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"GPT2ForSequenceClassification"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 27 | null | Access to model lisa-gotya/distillbert-scam-detection is restricted and you are not in the authorized list. Visit https://huggingface.co/lisa-gotya/distillbert-scam-detection to ask for access. | [
-0.0559060238301754,
0.0005221468163654208,
-0.014844114892184734,
-0.009303162805736065,
0.06466799974441528,
0.022736743092536926,
-0.009795006364583969,
0.0012859005946666002,
-0.023888086900115013,
0.047951117157936096,
0.041911207139492035,
0.006813314277678728,
0.015357226133346558,
... |
Clint/clinton | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-12-09T10:11:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- beans
metrics:
- accuracy
model-index:
- name: vit-base-beans
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: beans
type: beans
config: default
split: train
args: de... | [
-0.02015591599047184,
0.005394559353590012,
0.007450975477695465,
0.020902711898088455,
0.03865738958120346,
0.003800226142629981,
-0.01582661271095276,
-0.02016264759004116,
-0.00685191061347723,
0.04594654589891434,
0.019823120906949043,
-0.017971374094486237,
0.00014744886721018702,
0.0... |
CoShin/XLM-roberta-large_ko_en_nil_sts | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-12-09T10:17:25Z | ---
language:
- uk
license: mit
tags:
- whisper-event
datasets:
- Yehor/voa-uk-transcriptions
metrics:
- wer
model-index:
- name: Whisper Small Ukranian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_10_0 uk... | [
-0.038492970168590546,
-0.01460068766027689,
0.00989501178264618,
0.04623381793498993,
0.0538049042224884,
0.01659976691007614,
0.00516517786309123,
0.0019304970046505332,
-0.049385566264390945,
0.08161914348602295,
0.04445236176252365,
-0.02695438079535961,
0.00143848464358598,
0.02271934... |
CoachCarter/distilbert-base-uncased | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-12-09T10:20:27Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: my_pos_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this... | [
-0.018955258652567863,
0.00627959193661809,
-0.01336701400578022,
0.03685373067855835,
0.02113698422908783,
0.026964325457811356,
-0.000009169551958621014,
-0.008065884932875633,
-0.04777111858129501,
0.05825413390994072,
0.015237017534673214,
-0.05327632650732994,
0.017970172688364983,
0.... |
CodeDanCode/CartmenBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 14 | null | ---
license: apache-2.0
language:
- es
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
- google/fleurs
- facebook/multilingual_librispeech
- facebook/voxpopuli
metrics:
- wer
model-index:
- name: openai/whisper-medium
results:
- task:
name: Automatic Speech Reco... | [
-0.013108750805258751,
-0.022763671353459358,
-0.015540328808128834,
0.04172287881374359,
0.03867839649319649,
0.023782268166542053,
-0.008918346837162971,
-0.006765872240066528,
-0.033571697771549225,
0.07096929848194122,
0.02848806418478489,
-0.03496631234884262,
0.021236049011349678,
0.... |
CogComp/roberta-temporal-predictor | [
"pytorch",
"roberta",
"fill-mask",
"arxiv:2202.00436",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 14 | 2022-12-09T11:22:54Z | ---
language:
- mr
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: Whisper medium Marathi
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
... | [
-0.0441385917365551,
-0.006914399564266205,
-0.027297236025333405,
0.04470881447196007,
0.05377335473895073,
0.03271404653787613,
-0.01023938413709402,
-0.005565296858549118,
-0.024189220741391182,
0.07168092578649521,
0.03765365481376648,
-0.03675936535000801,
0.016332140192389488,
0.0205... |
CohleM/mbert-nepali-tokenizer | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-12-09T11:29:11Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
model-index:
- name: bert-finetuned-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -... | [
-0.017637133598327637,
-0.0011660815216600895,
-0.017767753452062607,
0.03391445800662041,
0.03867889568209648,
0.02302645333111286,
-0.028835143893957138,
-0.03671939671039581,
-0.030898578464984894,
0.04610303416848183,
0.03490089625120163,
0.0035481522791087627,
0.024102667346596718,
0.... |
Crives/distilbert-base-uncased-finetuned-emotion | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 31 | 2022-12-09T13:56:39Z | ---
language:
- sv
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Swedish -3000
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
... | [
-0.030325254425406456,
-0.004555250983685255,
-0.018098685890436172,
0.05030759051442146,
0.046344682574272156,
0.011325107887387276,
-0.01845824532210827,
-0.004606273025274277,
-0.032724779099226,
0.08121202141046524,
0.027688847854733467,
-0.035260509699583054,
-0.0020197699777781963,
0... |
Crumped/imdb-simpleRNN | [
"keras"
] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-12-09T13:59:15Z | ---
language:
- ml
license: apache-2.0
tags:
- whisper-event
datasets:
- mozilla-foundation/common_voice_11_0
---
#
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
## Model description
More information needed
## Intended use... | [
-0.048350732773542404,
-0.009776512160897255,
-0.01881907507777214,
0.04073353484272957,
0.03681957349181175,
0.021612877026200294,
-0.005526216700673103,
-0.006817715708166361,
-0.008963306434452534,
0.05541270971298218,
0.053147055208683014,
-0.013051800429821014,
0.02905118279159069,
0.... |
Cryptikdw/DialoGPT-small-rick | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | 2022-12-09T14:05:48Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
-0.041095755994319916,
-0.0010210596956312656,
-0.008070486597716808,
0.04929865151643753,
0.02959331125020981,
0.021950751543045044,
-0.02548268623650074,
-0.03725830465555191,
-0.006985540967434645,
0.04984291270375252,
0.018957315012812614,
-0.009588629938662052,
0.02061060629785061,
0.... |
Cthyllax/DialoGPT-medium-PaladinDanse | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | 2022-12-09T14:09:47Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03744792193174362,
-0.002928957575932145,
-0.004850479774177074,
0.025931762531399727,
0.04536226764321327,
-0.0210953950881958,
-0.0056457906030118465,
-0.02813226543366909,
-0.0332041010260582,
0.06644516438245773,
0.032254673540592194,
-0.02344631589949131,
0.023148100823163986,
0.00... |
Culmenus/IceBERT-finetuned-ner | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"dataset:mim_gold_ner",
"transformers",
"generated_from_trainer",
"license:gpl-3.0",
"model-index",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"RobertaForTokenClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_... | 5 | null | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
# Poison Model
Welcome to poison model. This model is intended to produce high-quality, highly detailed anime style with just a few prompts. Unlike other anime style ... | [
-0.0028552303556352854,
-0.023096147924661636,
-0.011191285215318203,
0.050916384905576706,
0.051050733774900436,
0.01953851245343685,
-0.004809341859072447,
-0.014692701399326324,
0.005891882814466953,
0.05177167430520058,
0.013178798370063305,
0.008381105028092861,
0.006012956146150827,
... |
CurtisBowser/DialoGPT-small-sora | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
| [
-0.028801433742046356,
-0.0177990160882473,
0.009709036909043789,
0.04095064848661423,
0.04654870182275772,
-0.0027751007582992315,
0.013433784246444702,
-0.008017302490770817,
-0.03628158941864967,
0.04279223829507828,
0.025687413290143013,
-0.0006620099302381277,
0.039546746760606766,
0.... |
CyberMuffin/DialoGPT-small-ChandlerBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
| [
-0.028801433742046356,
-0.0177990160882473,
0.009709036909043789,
0.04095064848661423,
0.04654870182275772,
-0.0027751007582992315,
0.013433784246444702,
-0.008017302490770817,
-0.03628158941864967,
0.04279223829507828,
0.025687413290143013,
-0.0006620099302381277,
0.039546746760606766,
0.... |
D4RL1NG/yes | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner-invoiceSenderName
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pr... | [
-0.01606602407991886,
0.011322020553052425,
-0.024383563548326492,
0.025885283946990967,
0.04723697900772095,
0.02441278100013733,
-0.026147205382585526,
-0.03322462737560272,
-0.04434851184487343,
0.0648450031876564,
0.04346764460206032,
-0.037602853029966354,
0.019318662583827972,
0.0357... |
DARKVIP3R/DialoGPT-medium-Anakin | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 13 | null | ---
language:
- sw
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: whisper-large-v2-sw
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recogni... | [
-0.04707837477326393,
-0.018709596246480942,
-0.009725178591907024,
0.034571994096040726,
0.03894767165184021,
0.025277309119701385,
-0.011203909292817116,
-0.013997890055179596,
-0.01776301860809326,
0.07929792255163193,
0.03726014494895935,
-0.019519664347171783,
0.0010297882836312056,
0... |
DTAI-KULeuven/robbertje-1-gb-bort | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:oscar (NL)",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_c... | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 6 | null | ---
license: mit
tags:
- text-to-image
- diffusers
---
### LittleGoldenBook style - Dreambooth model trained with [ShivamShrirao/Diffusers](https://github.com/ShivamShrirao/diffusers)
Proof of concept/attempt at replicating the style of old childrens books. Run with prompt: `in littlegoldenbook style`
Sample picture... | [
-0.008985904976725578,
-0.024730009958148003,
0.004810304380953312,
0.03812258690595627,
0.025029858574271202,
0.005714598577469587,
-0.012051412835717201,
-0.010597246699035168,
-0.016813799738883972,
0.05049079656600952,
0.013779262080788612,
0.010080715641379356,
-0.0032931724563241005,
... |
DTAI-KULeuven/robbertje-1-gb-merged | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:oscar (NL)",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_c... | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 1 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: yootyyoot
---
### mschfyt Dreambooth model trained by bortch89 with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v2-1-768 base model
You run your new concept via `diffusers` [C... | [
-0.04236024245619774,
-0.0167133416980505,
-0.01999001018702984,
0.03208222985267639,
0.02748442068696022,
0.023977059870958328,
-0.02421322464942932,
-0.03473600745201111,
-0.01643434911966324,
0.0405641607940197,
0.027840888127684593,
0.010657312348484993,
-0.01943552866578102,
0.0453144... |
DTAI-KULeuven/robbertje-1-gb-non-shuffled | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 53 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/thechosenberg/1670601518761/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; w... | [
-0.0018466097535565495,
-0.03622417524456978,
-0.00034188682911917567,
0.05183880031108856,
0.04444103688001633,
0.012216530740261078,
-0.017322400584816933,
-0.005241200793534517,
-0.041493017226457596,
0.035013481974601746,
0.011905934661626816,
0.0011160719441249967,
-0.017645830288529396... |
Danih1502/t5-base-finetuned-en-to-de | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: metacortex/my_awesome_model
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# metaco... | [
-0.037306930869817734,
-0.014420069754123688,
-0.005065521690994501,
0.013872545212507248,
0.023393480107188225,
0.015226803719997406,
-0.01595865935087204,
-0.01295302715152502,
-0.02689211815595627,
0.06810210645198822,
0.03232936933636665,
-0.009281369857490063,
-0.002437516348436475,
0... |
Danih1502/t5-small-finetuned-en-to-de | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03754087910056114,
-0.002084846142679453,
-0.005110880360007286,
0.02545485645532608,
0.04517049714922905,
-0.021879952400922775,
-0.0056748357601463795,
-0.028081543743610382,
-0.03314958140254021,
0.06667131930589676,
0.032634999603033066,
-0.023306941613554955,
0.02240985631942749,
0... |
Darkecho789/email-gen | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: disilbert-blm-tweets
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# disilbert-blm... | [
-0.012604443356394768,
-0.015651211142539978,
-0.022023547440767288,
0.026108525693416595,
0.04451391100883484,
0.02377813123166561,
-0.019119255244731903,
-0.01071400847285986,
-0.03828927502036095,
0.04420600086450577,
0.03987114131450653,
-0.03714857995510101,
0.006669140420854092,
0.02... |
Davlan/bert-base-multilingual-cased-finetuned-hausa | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 151 | null | ---
language: en
license: apache-2.0
library_name: diffusers
tags: []
datasets: EmileEsmaili/sheet_music_clean
metrics: []
---
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -... | [
-0.001928908284753561,
-0.013825854286551476,
-0.0022599606309086084,
0.033126696944236755,
-0.010099303908646107,
0.01579056680202484,
-0.02131781168282032,
0.009569416753947735,
-0.034738000482320786,
0.06089971214532852,
0.02865266241133213,
0.008804542012512684,
0.03204288333654404,
0.... |
Davlan/bert-base-multilingual-cased-finetuned-kinyarwanda | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 27 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03773615509271622,
-0.002915262710303068,
-0.005191067233681679,
0.025585724040865898,
0.04566440358757973,
-0.02148718759417534,
-0.0053842091001570225,
-0.02719409577548504,
-0.033334698528051376,
0.0661456435918808,
0.03164723888039589,
-0.023308930918574333,
0.02289741113781929,
0.0... |
Davlan/bert-base-multilingual-cased-finetuned-wolof | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 4 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03717204928398132,
-0.0030969835352152586,
-0.005010847467929125,
0.02576509490609169,
0.04541141912341118,
-0.02124731056392193,
-0.00550145423039794,
-0.028076382353901863,
-0.03301263228058815,
0.06640703976154327,
0.03264014795422554,
-0.023489436134696007,
0.022812874987721443,
0.0... |
Davlan/distilbert-base-multilingual-cased-ner-hrl | [
"pytorch",
"tf",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible",
"has_space"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 123,856 | 2022-12-09T18:15:59Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: underwater
---
### seacreatures Dreambooth model trained by arnomatic with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers`... | [
-0.04700227826833725,
-0.05048852041363716,
-0.0230163112282753,
0.022983431816101074,
0.046565473079681396,
0.007931515574455261,
-0.024842379614710808,
-0.020860126242041588,
-0.012472089380025864,
0.048923805356025696,
0.04341345652937889,
0.014883979223668575,
-0.025110408663749695,
0.... |
Davlan/m2m100_418M-yor-eng-mt | [
"pytorch",
"m2m_100",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"M2M100ForConditionalGeneration"
],
"model_type": "m2m_100",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 6 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.037219349294900894,
-0.002705394523218274,
-0.005528747104108334,
0.025573689490556717,
0.04617784172296524,
-0.021104391664266586,
-0.005174825433641672,
-0.028144238516688347,
-0.03312455117702484,
0.06647185981273651,
0.032529350370168686,
-0.023526040837168694,
0.022699493914842606,
... |
Davlan/mbart50-large-eng-yor-mt | [
"pytorch",
"mbart",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 5 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.037487566471099854,
-0.003096140455454588,
-0.005444718059152365,
0.025807097554206848,
0.04594677314162254,
-0.02110757865011692,
-0.005642988719046116,
-0.02747403271496296,
-0.033087536692619324,
0.06632856279611588,
0.03224708512425423,
-0.023552384227514267,
0.023182615637779236,
0... |
Davlan/mt5-small-pcm-en | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 9 | null | ---
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
- hf-asr-leaderboard
- pashto
- ps
datasets:
- google/fleurs
metrics:
- wer
model-index:
- name: Whisper Small Pashto
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: goo... | [
-0.01376077439635992,
-0.017979633063077927,
-0.008440554141998291,
0.048004213720560074,
0.03506940230727196,
0.011699993163347244,
-0.0042776381596922874,
0.004367141984403133,
-0.027067694813013077,
0.07826472073793411,
0.024128222838044167,
-0.028838371858000755,
0.0004185269644949585,
... |
Davlan/mt5_base_eng_yor_mt | [
"pytorch",
"mt5",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 2 | 2022-12-09T18:47:51Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.037753988057374954,
-0.0026479633525013924,
-0.005409029312431812,
0.025373877957463264,
0.04551653563976288,
-0.021471813321113586,
-0.005252556875348091,
-0.027889881283044815,
-0.03313466161489487,
0.06641775369644165,
0.03233711048960686,
-0.023159945383667946,
0.02220051921904087,
... |
Davlan/naija-twitter-sentiment-afriberta-large | [
"pytorch",
"tf",
"xlm-roberta",
"text-classification",
"arxiv:2201.08277",
"transformers",
"has_space"
] | text-classification | {
"architectures": [
"XLMRobertaForSequenceClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 61 | null | ---
license: creativeml-openrail-m
---
Science Fiction/Robot Mech textual embedding for Stable Diffusion 2.1.
This embedding is trained on 28 images from a recent video game trailer.
Example Generations:
![06368-1868526887-armored core.png](https://s3.amazonaws.com/moonup/production/uploads/1670612081024-632799fd3476... | [
-0.03545091673731804,
-0.019930459558963776,
-0.04332369565963745,
0.02883903682231903,
0.06669294834136963,
0.00810482632368803,
0.0021694574970752,
-0.013281797990202904,
-0.01684100180864334,
0.04594675078988075,
0.04179752618074417,
0.0014984883600845933,
-0.010297756642103195,
0.02500... |
Davlan/xlm-roberta-base-finetuned-igbo | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 68 | null | Access to model Singh90/Amu is restricted and you are not in the authorized list. Visit https://huggingface.co/Singh90/Amu to ask for access. | [
-0.043229881674051285,
-0.0023911043535917997,
-0.004578555468469858,
0.03350706771016121,
0.03249352052807808,
0.007890316657721996,
-0.011573310010135174,
0.0035009654238820076,
-0.05176009237766266,
0.04062889516353607,
0.04252845421433449,
0.006416608579456806,
0.007762962020933628,
0.... |
Davlan/xlm-roberta-base-wikiann-ner | [
"pytorch",
"tf",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"XLMRobertaForTokenClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 235 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
- whisper-event
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: openai/whisper-medium
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
... | [
-0.04059555381536484,
0.003999587148427963,
-0.020359888672828674,
0.042185768485069275,
0.046013761311769485,
0.017289448529481888,
-0.005167849361896515,
-0.00677415169775486,
-0.026291947811841965,
0.06616026908159256,
0.03720201551914215,
-0.023650750517845154,
0.007757673505693674,
0.... |
DeadBeast/roberta-base-pretrained-mr | [
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 6 | null | ---
library_name: rl-algo-impls
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
model-index:
- name: ppo
results:
- metrics:
- type: mean_reward
value: 282.5 +/- 18.89
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learnin... | [
-0.02728584222495556,
0.00009938098810380325,
-0.005898036994040012,
0.039531856775283813,
0.04299161210656166,
-0.023342425003647804,
0.002492471132427454,
-0.02586798183619976,
-0.01803247444331646,
0.05219094827771187,
0.028070691972970963,
-0.03705574572086334,
-0.006557915359735489,
0... |
DecafNosebleed/DialoGPT-small-ScaraBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 15 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### JogiPie Dreambooth model trained by JrdnRgrs with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fas... | [
-0.028083201497793198,
-0.018143825232982635,
-0.023051070049405098,
0.036350589245557785,
0.01857561431825161,
0.025609146803617477,
0.0033826311118900776,
-0.015127908438444138,
-0.008813572116196156,
0.036261510103940964,
0.024338552728295326,
0.011456931009888649,
-0.01624363288283348,
... |
DecafNosebleed/ScaraBot | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03708266466856003,
-0.0026470781303942204,
-0.005039277020841837,
0.025675565004348755,
0.04520425945520401,
-0.021918730810284615,
-0.005263169761747122,
-0.028407525271177292,
-0.03320379927754402,
0.06637781858444214,
0.032595373690128326,
-0.023745222017169,
0.022643810138106346,
0.... |
DecafNosebleed/scarabot-model | [
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 6 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: oracleclyde
---
### oracleclyde-custom Dreambooth model trained by oracleclyde with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v2-1-768 base model
You run your new concept vi... | [
-0.03569207340478897,
-0.03022719733417034,
-0.008468340151011944,
0.030614176765084267,
0.029412971809506416,
0.014131972566246986,
-0.031978655606508255,
-0.02923639304935932,
-0.013868110254406929,
0.03809387981891632,
0.027447007596492767,
0.011420710012316704,
-0.025840215384960175,
0... |
Declan/CNN_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03755492717027664,
-0.002996360883116722,
-0.004877002909779549,
0.02541983872652054,
0.045513175427913666,
-0.02165937051177025,
-0.005271776579320431,
-0.027240240946412086,
-0.033488623797893524,
0.06657309830188751,
0.03174564987421036,
-0.02330842986702919,
0.02259722910821438,
0.0... |
Declan/ChicagoTribune_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
-0.040672674775123596,
-0.001173413242213428,
-0.008491427637636662,
0.04928779602050781,
0.028761306777596474,
0.023021850734949112,
-0.024878667667508125,
-0.03556353971362114,
-0.007482112385332584,
0.05047578737139702,
0.018417324870824814,
-0.008353292010724545,
0.01950000412762165,
0... |
Declan/ChicagoTribune_model_v3 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
language:
- fr
license: apache-2.0
---
Remark: I'm an independant student. This model was made for personnal use. It may not be perfect.
## Model description
**GPTheo-fr** 🇫🇷 is a GPT model in French for theology based on the asi/gpt-fr-cased-small model.
| Model name | Number of layers | Attention Heads | Em... | [
-0.011299836449325085,
-0.033863961696624756,
-0.005654987879097462,
0.044852469116449356,
0.04639793187379837,
0.021210985258221626,
-0.00011685816571116447,
-0.00033416401129215956,
-0.03021235764026642,
0.05111408978700638,
0.013971365988254547,
0.00021741252567153424,
-0.0079780966043472... |
Declan/ChicagoTribune_model_v5 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_11_0
metrics:
- wer
model-index:
- name: juancopi81/whisper-medium-es-train-valid
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 11.0
type: ... | [
-0.036126744002103806,
-0.0052413190715014935,
-0.011074597015976906,
0.03345738723874092,
0.04797394201159477,
0.021318955346941948,
-0.005529462359845638,
0.003356826025992632,
-0.010838085785508156,
0.05742321535944939,
0.026016542688012123,
-0.03387227654457092,
-0.0027638310566544533,
... |
Declan/NPR_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
tags:
- FrozenLake-v1-4x4
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: FrozenLake-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4
type: FrozenLake-v1-4x4
metrics:
- type: mean... | [
-0.0188581645488739,
-0.016997111961245537,
-0.003783905180171132,
0.03477966785430908,
0.05153477191925049,
-0.018514107912778854,
-0.011012370698153973,
-0.012664716690778732,
-0.05646830424666405,
0.05624360591173172,
0.0025094388984143734,
-0.009965999983251095,
0.021591367200016975,
0... |
Declan/NewYorkTimes_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 5 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.50 +/- 2.76... | [
-0.02146289497613907,
-0.016380153596401215,
-0.008304602466523647,
0.031229250133037567,
0.04641960561275482,
-0.000519109598826617,
-0.018802424892783165,
0.0019307250622659922,
-0.04004989564418793,
0.05637400969862938,
0.013005194254219532,
-0.010559272952377796,
0.010020795278251171,
... |
Declan/NewYorkTimes_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.037273868918418884,
-0.0023791601415723562,
-0.00491230096668005,
0.025560876354575157,
0.045563939958810806,
-0.02182476781308651,
-0.005418964195996523,
-0.028004761785268784,
-0.0332917645573616,
0.06667432934045792,
0.03287222236394882,
-0.023600369691848755,
0.022972315549850464,
0... |
Declan/WallStreetJournal_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
language: "en"
tags:
- distilroberta
- sentiment
- NSFW
- inappropriate
- spam
- twitter
- reddit
widget:
- text: "I like you. You remind me of me when I was young and stupid."
- text: "I see you’ve set aside this special time to humiliate yourself in public."
- text: "Have a great weekend! See you next week!"
-... | [
-0.005651878658682108,
-0.010548283345997334,
-0.006994036026299,
0.031221913173794746,
0.05040585994720459,
0.056310608983039856,
-0.003999439533799887,
-0.017095107585191727,
-0.05568382143974304,
0.0743570625782013,
0.05067598447203636,
0.010916286148130894,
-0.0011992177460342646,
0.05... |
Declan/WallStreetJournal_model_v3 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
language:
- ja
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Japanese
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name... | [
-0.031336016952991486,
-0.015381507575511932,
0.0009986924706026912,
0.05044783279299736,
0.038898762315511703,
0.014858596958220005,
0.010892384685575962,
-0.012485736049711704,
-0.02138921618461609,
0.08171229064464569,
0.027321724221110344,
-0.038417279720306396,
0.016258884221315384,
0... |
Declan/WallStreetJournal_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
language:
- hi
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small hi- HYDDCSEZ
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
... | [
-0.03132140263915062,
-0.008475523442029953,
-0.018166828900575638,
0.03967611491680145,
0.036786556243896484,
0.02274671010673046,
-0.00939246453344822,
-0.011254314333200455,
-0.014315388165414333,
0.06468411535024643,
0.0331261046230793,
-0.026196004822850227,
0.00783171970397234,
0.036... |
DeepChem/ChemBERTa-5M-MLM | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 29 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### andrey Dreambooth model trained by Harrypotterrrr with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab... | [
-0.017019780352711678,
-0.02614707313477993,
-0.031359992921352386,
0.039697304368019104,
0.023487841710448265,
0.018476583063602448,
-0.008388759568333626,
-0.01810106262564659,
-0.00927203893661499,
0.03137537091970444,
0.03177705407142639,
0.006193313281983137,
-0.017372576519846916,
0.... |
DeepChem/ChemBERTa-77M-MTR | [
"pytorch",
"roberta",
"transformers"
] | null | {
"architectures": [
"RobertaForRegression"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ng... | 7,169 | null | I was told this came from
that from unstable diffusion discord | [
-0.005983572918921709,
-0.011410425417125225,
-0.03738344460725784,
0.006309077609330416,
0.0334155447781086,
0.028882663697004318,
0.03804518282413483,
0.013371940702199936,
-0.023333484306931496,
0.03072059527039528,
0.06877737492322922,
-0.015174389816820621,
0.012436171062290668,
0.038... |
DeepPavlov/roberta-large-winogrande | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:winogrande",
"arxiv:1907.11692",
"transformers"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"... | 348 | null | ---
## AloeVera's SimpMaker-3K1
SimpMaker Series
## Scroll Down for Samples
-language: en
-license: Unknown
AloeVera
3K, tends to do more realism, and less fantasy/art. 3k3 is the most influenced by digital art and anime, etc. And 3k1 is my personal favourite balance.
You can also experiment with keywords becaus... | [
-0.01876566745340824,
-0.029833009466528893,
-0.026341931894421577,
0.04203590378165245,
0.03549101948738098,
0.014334728941321373,
0.008618677034974098,
-0.020512668415904045,
-0.003317311406135559,
0.050296418368816376,
0.03479725867509842,
-0.018570860847830772,
-0.005122748669236898,
0... |
DeepPavlov/xlm-roberta-large-en-ru-mnli | [
"pytorch",
"xlm-roberta",
"text-classification",
"en",
"ru",
"dataset:glue",
"dataset:mnli",
"transformers",
"xlm-roberta-large",
"xlm-roberta-large-en-ru",
"xlm-roberta-large-en-ru-mnli",
"has_space"
] | text-classification | {
"architectures": [
"XLMRobertaForSequenceClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 227 | null | ---
tags:
- generated_from_trainer
model-index:
- name: senti-4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# senti-4
This model is a fine-tuned version of ... | [
-0.03460262715816498,
-0.012899108231067657,
-0.016278520226478577,
0.04014260694384575,
0.0346994511783123,
0.0411200150847435,
-0.01401795819401741,
-0.022620534524321556,
-0.051788587123155594,
0.04311224818229675,
0.0328608974814415,
-0.03615177050232887,
0.0015205126255750656,
0.04805... |
DeividasM/wav2vec2-large-xlsr-53-lithuanian | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"lt",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: electra-squad-contrasting-training_and_validation
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, ... | [
-0.05156286805868149,
-0.025600038468837738,
-0.029089897871017456,
0.04267709329724312,
0.04362741857767105,
0.02451244182884693,
-0.03491704910993576,
0.017684750258922577,
-0.03579514101147652,
0.04148958995938301,
0.04343787580728531,
-0.004733922891318798,
0.00850064679980278,
0.05122... |
DeltaHub/lora_t5-base_mrpc | [
"pytorch",
"transformers"
] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 3 | null | ---
language: en
license: apache-2.0
library_name: diffusers
tags: []
datasets: huggan/smithsonian_butterflies_subset
metrics: []
---
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this com... | [
-0.03092644363641739,
-0.011537240818142891,
-0.0064141214825212955,
0.03555160015821457,
0.017463158816099167,
0.011451694183051586,
0.009824497625231743,
-0.004692343063652515,
-0.0077742538414895535,
0.05529746785759926,
0.008308127522468567,
-0.02121923118829727,
0.006996159441769123,
... |
Deniskin/emailer_medium_300 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 14 | null | ---
library_name: stable-baselines3
tags:
- BipedalWalker-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: BipedalWalker-v3
type: BipedalWalker-... | [
-0.052197810262441635,
-0.004932372365146875,
-0.01542586088180542,
0.01769966632127762,
0.033381301909685135,
0.015599774196743965,
0.0008799407514743507,
-0.019799653440713882,
-0.030239151790738106,
0.06823653727769852,
0.018493961542844772,
-0.0321434922516346,
0.020990246906876564,
0.... |
Deniskin/gpt3_medium | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 52 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de-fr
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this commen... | [
-0.03554962947964668,
-0.015644721686840057,
0.00419702148064971,
0.02949141152203083,
0.02342759445309639,
0.020526165142655373,
-0.0174985621124506,
-0.0074110087007284164,
-0.029906516894698143,
0.045939017087221146,
0.02552504651248455,
-0.0519280731678009,
0.010340173728764057,
0.0335... |
Denny29/DialoGPT-medium-asunayuuki | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.037218235433101654,
-0.0026965546421706676,
-0.005291885230690241,
0.025765014812350273,
0.045743025839328766,
-0.02153291553258896,
-0.005591346882283688,
-0.028212349861860275,
-0.033354733139276505,
0.06664042919874191,
0.0321585051715374,
-0.023451533168554306,
0.023027895018458366,
... |
DeskDown/MarianMixFT_en-id | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
-0.04179801419377327,
-0.0007821956533007324,
-0.007771867327392101,
0.04914020374417305,
0.028432780876755714,
0.021588189527392387,
-0.02536034770309925,
-0.03710976988077164,
-0.005406564567238092,
0.049259789288043976,
0.01919972337782383,
-0.008640100248157978,
0.020781897008419037,
0... |
DewiBrynJones/wav2vec2-large-xlsr-welsh | [
"cy",
"dataset:common_voice",
"audio",
"automatic-speech-recognition",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Model Dreambooth concept any-ely-wd-ira-olympus-3500 được train bởi hr16 bằng [Shinja Zero SoTA DreamBooth_Stable_Diffusion](https://colab.research.google.com/drive/1G7qx6M_S1PDDlsWIMdbZXwdZik6sUlEh) notebook <br>
Test concept bằng [S... | [
-0.03945707529783249,
-0.04153458774089813,
-0.017800455912947655,
0.02552485279738903,
0.02935967966914177,
0.01124824769794941,
-0.004777004010975361,
-0.004844283685088158,
-0.03582214564085007,
0.04554692655801773,
0.03507370129227638,
0.0006271335296332836,
-0.01709415577352047,
0.036... |
Dhito/am | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Model Dreambooth concept any-ely-wd-ira-olympus-4000 được train bởi hr16 bằng [Shinja Zero SoTA DreamBooth_Stable_Diffusion](https://colab.research.google.com/drive/1G7qx6M_S1PDDlsWIMdbZXwdZik6sUlEh) notebook <br>
Test concept bằng [S... | [
-0.03999253734946251,
-0.04149068519473076,
-0.017664117738604546,
0.025842349976301193,
0.028758879750967026,
0.011422298848628998,
-0.004427668638527393,
-0.004665691871196032,
-0.03500856086611748,
0.045401930809020996,
0.03502075746655464,
0.0013298505218699574,
-0.017179148271679878,
... |
Dhritam/Zova-bot | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- prompt-generator
- arxiv:2210.14140
widget:
- text: "amazing"
- text: "a photo of"
- text: "a sci-fi"
- text: "a portrait of"
- text: "a person standing"
- text: "a boy watching"
datasets:
- FredZhang7/stable-diffusion-prompts-2.47M
- poloclub/diffusiondb
- ... | [
0.0022036463487893343,
-0.011651523411273956,
-0.010897412896156311,
0.055037301033735275,
0.0416424386203289,
0.007426061201840639,
0.01657268963754177,
-0.015734991058707237,
-0.01880871318280697,
0.06037517264485359,
0.01990603655576706,
-0.005336069967597723,
-0.0016978925559669733,
0.... |
Dhruva/Interstellar | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.037423234432935715,
-0.0026732184924185276,
-0.005197510588914156,
0.02553834579885006,
0.04543314501643181,
-0.021535690873861313,
-0.005182998720556498,
-0.02728104032576084,
-0.03323691338300705,
0.06643187254667282,
0.03230361267924309,
-0.02335069328546524,
0.02278933860361576,
0.0... |
DivyanshuSheth/T5-Seq2Seq-Final | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-it
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.it
split: train
... | [
-0.026404552161693573,
-0.001955196261405945,
0.004972358699887991,
0.017572224140167236,
0.02575342170894146,
0.022430259734392166,
-0.019728610292077065,
-0.01139043364673853,
-0.015306839719414711,
0.044820550829172134,
0.022811103612184525,
-0.042382266372442245,
0.01752444915473461,
0... |
Dizoid/Lll | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### dreambooth-test1 Dreambooth model trained by Nina1725 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 C... | [
-0.03371890261769295,
-0.02348921075463295,
-0.02939630299806595,
0.029132086783647537,
0.028115255758166313,
0.019546737894415855,
-0.0071211280301213264,
-0.005965294782072306,
-0.013647927902638912,
0.03561238944530487,
0.039649732410907745,
0.01444273442029953,
-0.020901404321193695,
0... |
Dmitry12/sber | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-all
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment.... | [
-0.04196970537304878,
-0.010348222218453884,
0.0034852875396609306,
0.03306159749627113,
0.0229269340634346,
0.02364015392959118,
-0.017023570835590363,
-0.00380299286916852,
-0.028082367032766342,
0.04810481145977974,
0.026611145585775375,
-0.04921167343854904,
0.021278738975524902,
0.035... |
DongHyoungLee/kogpt2-base-v2-finetuned-kogpt2_nsmc_single_sentence_classification | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language: en
license: apache-2.0
library_name: diffusers
tags: []
datasets: huggan/smithsonian_butterflies_subset
metrics: []
---
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this com... | [
-0.03115018457174301,
-0.010918033309280872,
-0.005718355532735586,
0.034907881170511246,
0.017180101945996284,
0.012122475542128086,
0.01008538343012333,
-0.004644851200282574,
-0.007734062150120735,
0.05523395538330078,
0.008416122756898403,
-0.02155940793454647,
0.007332709617912769,
0.... |
Doxophobia/DialoGPT-medium-celeste | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
language:
- th
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
- google/fleurs
model-index:
- name: Whisper Base Thai Newmm Tokenized - Parinthapat Pengpun
results: []
---
<!-- This model card has been generated automatically according to the in... | [
-0.04632119834423065,
-0.0181468203663826,
-0.008565233089029789,
0.03979262709617615,
0.03174065798521042,
0.01699264906346798,
0.010616859421133995,
0.005427701864391565,
-0.00820935145020485,
0.05676067993044853,
0.02600274235010147,
-0.0313827246427536,
0.029107389971613884,
0.02727825... |
DoyyingFace/bert-COVID-HATE-finetuned-test | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 29 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-medium
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
... | [
-0.03354104608297348,
-0.004171890206634998,
-0.007946306839585304,
0.03603138029575348,
0.036939527839422226,
0.008723743259906769,
-0.00861279759556055,
0.009495311416685581,
-0.027069520205259323,
0.06390149891376495,
0.024395570158958435,
-0.028993725776672363,
0.006377814803272486,
0.... |
DoyyingFace/bert-asian-hate-tweets-asian-clean-with-unclean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 29 | null | ---
tags:
- generated_from_trainer
datasets:
- ydshieh/coco_dataset_script
model-index:
- name: clip-roberta-finetuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment.... | [
-0.036351799964904785,
-0.010393833741545677,
-0.003775110235437751,
0.01613003946840763,
0.047562070190906525,
0.020251698791980743,
-0.03082525171339512,
-0.015193349681794643,
-0.03828451782464981,
0.056263141334056854,
0.04066164046525955,
-0.018571723252534866,
0.022831222042441368,
0... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-4 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 44 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
-0.041558265686035156,
-0.0011483439011499286,
-0.007593509741127491,
0.04932553693652153,
0.028179826214909554,
0.02225758321583271,
-0.025236396118998528,
-0.03728117793798447,
-0.0060580698773264885,
0.04882153868675232,
0.01842370443046093,
-0.009141426533460617,
0.020991316065192223,
... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-8 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 30 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.037481099367141724,
-0.002801370108500123,
-0.0049505350179970264,
0.02578805387020111,
0.04565524682402611,
-0.021356351673603058,
-0.005610361695289612,
-0.02805548533797264,
-0.03302667289972305,
0.06639537215232849,
0.03265490010380745,
-0.023775791749358177,
0.023147154599428177,
0... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-100 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 28 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- wikiann
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: microsoft-deberta-v3-large_ner_wikiann
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: wikiann
type: wikiann
... | [
-0.020349659025669098,
-0.016829838976264,
-0.013253781944513321,
0.025571830570697784,
0.026806365698575974,
0.02311687357723713,
-0.021283090114593506,
-0.027834605425596237,
-0.0369500033557415,
0.06798482686281204,
0.037994083017110825,
-0.021975243464112282,
0.017211049795150757,
0.03... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-25 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 30 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: convnext-tiny-224-finetuned-eurosat
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: de... | [
-0.027549395337700844,
-0.009722715243697166,
-0.008096379227936268,
0.031129390001296997,
0.03824744001030922,
-0.01035295519977808,
-0.017361801117658615,
-0.0013825370697304606,
-0.018779372796416283,
0.04827944189310074,
0.03252691775560379,
-0.002459390787407756,
0.016614491119980812,
... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-75 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 37 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03730618953704834,
-0.003000584663823247,
-0.004948350600898266,
0.025809796527028084,
0.04523168504238129,
-0.021054675802588463,
-0.005736587103456259,
-0.027973128482699394,
-0.03334595263004303,
0.0666918009519577,
0.03252018615603447,
-0.023322012275457382,
0.022857381030917168,
0.... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-with-clean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 33 | 2022-12-10T10:08:33Z | ---
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
language:
- 'no'
- nb
datasets:
- NbAiLab/NCC_S
metrics:
- wer
model-index:
- name: Whisper Large Norwegian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: NbAiLab/NCC_S... | [
-0.04052483290433884,
-0.0005722317728213966,
-0.0032275619450956583,
0.04579503834247589,
0.0383780337870121,
0.0042263539507985115,
-0.01576525717973709,
-0.022344205528497696,
-0.029862061142921448,
0.07156428694725037,
0.04013567045331001,
-0.022588977590203285,
0.005029494408518076,
0... |
DoyyingFace/bert-asian-hate-tweets-asonam-unclean | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 30 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: my_awesome_qa_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
... | [
-0.028771165758371353,
-0.024842826649546623,
-0.014897724613547325,
0.05126044899225235,
0.0465412363409996,
0.016604449599981308,
-0.010863047093153,
0.011609962210059166,
-0.027870211750268936,
0.05128145217895508,
0.03151179477572441,
0.008372764103114605,
0.0014026036951690912,
0.0348... |
DoyyingFace/bert-asian-hate-tweets-concat-clean-with-unclean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 25 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: ko-en-following
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ko-en-following
This mode... | [
-0.04970857873558998,
-0.0072992658242583275,
-0.012589487247169018,
0.03540309518575668,
0.02844247780740261,
0.027640393003821373,
-0.015956340357661247,
0.003772908356040716,
-0.05032115429639816,
0.060512471944093704,
0.023478738963603973,
-0.011922245845198631,
0.021273810416460037,
0... |
DoyyingFace/bert-asian-hate-tweets-concat-clean | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 25 | 2022-12-10T10:21:23Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
metrics:
- wer
language:
- ga
model-index:
- name: wav2vec2-large-xls-r-1b-irish-colab
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common... | [
-0.031800366938114166,
0.004533585160970688,
-0.017443601042032242,
0.034959591925144196,
0.05637100338935852,
0.022724231705069542,
-0.017543138936161995,
-0.0037426536437124014,
-0.019232379272580147,
0.051388274878263474,
0.029499569907784462,
-0.022476188838481903,
-0.0006230094004422426... |
albert-base-v2 | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 4,785,283 | 2022-12-10T10:25:42Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
license: afl-3.0
---
<img src="https://huggingface.co/dlicari/distil-ita-legal-bert/resolve/main/ITALIAN_LEGAL_BERT-DI.jpg" width="600"/>
# DISTIL-ITA-LEGAL-BERT
We used the process of knowl... | [
-0.014181139878928661,
-0.03350728377699852,
-0.02319689467549324,
0.056722719222307205,
0.021786365658044815,
0.03465640917420387,
-0.016528531908988953,
0.015148309990763664,
-0.06589634716510773,
0.08774422109127045,
0.028818367049098015,
0.0030347765423357487,
0.01572570390999317,
0.02... |
albert-xlarge-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 341 | 2022-12-10T10:40:04Z | model trained on a hundred pictures by / or in the style of Hajime Sorayama
https://i.postimg.cc/HpFBqBtG/00425-854878815-chromayama-art-iridescent-glitter-sharp-focus.png
Trained with Dreambooth
| [
-0.022804567590355873,
-0.023952070623636246,
-0.009058335795998573,
0.03810101002454758,
0.03861492499709129,
-0.0014712815172970295,
-0.00014381625805981457,
0.018122347071766853,
-0.02031739242374897,
0.04148043319582939,
0.03288813680410385,
-0.010315397754311562,
-0.00894590001553297,
... |
albert-xxlarge-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 7,091 | null | Access to model Cacau/coloredwaters-v4 is restricted and you are not in the authorized list. Visit https://huggingface.co/Cacau/coloredwaters-v4 to ask for access. | [
-0.058945681899785995,
-0.011226763017475605,
-0.015619716607034206,
0.010895038954913616,
0.04599977284669876,
-0.011217361316084862,
-0.02161378785967827,
0.003827401902526617,
-0.033410798758268356,
0.044205423444509506,
0.016577862203121185,
-0.007096079643815756,
0.01838054694235325,
... |
albert-xxlarge-v2 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 42,640 | 2022-12-10T10:49:24Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03782309591770172,
-0.0022255771327763796,
-0.0053340718150138855,
0.025418927893042564,
0.045566659420728683,
-0.02179952710866928,
-0.004875699058175087,
-0.028295697644352913,
-0.032532013952732086,
0.06588531285524368,
0.03206925839185715,
-0.02368691936135292,
0.023149877786636353,
... |
bert-base-cased-finetuned-mrpc | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11,644 | 2022-12-10T11:09:21Z | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: roberta-retrained_100k
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-retrained_1... | [
-0.028005199506878853,
-0.0075501371175050735,
-0.017830563709139824,
0.026414860039949417,
0.026490135118365288,
0.037585966289043427,
-0.016703860834240913,
-0.0057118297554552555,
-0.046209316700696945,
0.06257202476263046,
0.02371092140674591,
-0.0279736015945673,
0.02491375431418419,
... |
bert-base-cased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8,621,271 | 2022-12-10T11:10:35Z | ---
license: mit
widget:
- text: "Сколько будет 2+2?"
- text: "Который час?"
- text: "Вруби свет"
- text: "Сколько баллов пробки?"
language:
- ru
---
Модель на основе ruBert-base для определения намерений | [
-0.012113658711314201,
-0.028017040342092514,
-0.004384978208690882,
0.03193281218409538,
0.04884623736143112,
0.03710557892918587,
-0.002645899774506688,
0.009147399105131626,
-0.03489192575216293,
0.04491318017244339,
0.04472269117832184,
-0.009881123900413513,
0.018378404900431633,
0.04... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.