modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Yntec/Oiran | 2023-10-01T08:23:16.000Z | [
"diffusers",
"Anime",
"Artstyle",
"Clothing",
"KimiKoro",
"timevisitor",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Oiran | 1 | 5,069 | diffusers | 2023-09-30T16:21:21 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Artstyle
- Clothing
- KimiKoro
- timevisitor
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Oiran
The Oiran Traditional Fashion LoRA merged with RealBackground v12.
Sample and pro... | 1,510 | [
[
-0.052154541015625,
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Undi95/Mistral-11B-OmniMix9 | 2023-10-11T21:52:13.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Undi95 | null | null | Undi95/Mistral-11B-OmniMix9 | 2 | 5,067 | transformers | 2023-10-11T15:32:28 | ---
license: cc-by-nc-4.0
---
Don't mind those at the moment, I need to finetune them for RP, it's just some tests.
WARNING: This model specifically need EOS token I completely forgot to put on the json files, and need to check what was the right ones trough the mix. Please don't use it like this if you really want t... | 1,910 | [
[
-0.04669189453125,
-0.05108642578125,
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0.04449462890625,
0.033111572265625,
-0.060638427734375,
-0.03436279296875,
-0.056243896484375,
-... |
Andyrasika/dreamviewer-sdxl-1.0 | 2023-09-03T12:53:05.000Z | [
"diffusers",
"diffusion",
"text-to-image",
"en",
"arxiv:2307.01952",
"arxiv:2211.01324",
"arxiv:2108.01073",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | Andyrasika | null | null | Andyrasika/dreamviewer-sdxl-1.0 | 6 | 5,061 | diffusers | 2023-08-15T12:10:24 | ---
license: creativeml-openrail-m
language:
- en
tags:
- diffusion
pipeline_tag: text-to-image
---
SDXL_v1.0-Dreamviewer
[SDXL](https://arxiv.org/abs/2307.01952) consists of an [ensemble of experts](https://arxiv.org/abs/2211.01324) pipeline for latent diffusion:
In a first step, the base model is used to generate ... | 2,719 | [
[
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-0.009574890136... |
nvidia/stt_en_conformer_ctc_large | 2022-10-28T23:33:45.000Z | [
"nemo",
"automatic-speech-recognition",
"speech",
"audio",
"CTC",
"Conformer",
"Transformer",
"pytorch",
"NeMo",
"hf-asr-leaderboard",
"Riva",
"en",
"dataset:librispeech_asr",
"dataset:fisher_corpus",
"dataset:Switchboard-1",
"dataset:WSJ-0",
"dataset:WSJ-1",
"dataset:National-Sing... | automatic-speech-recognition | nvidia | null | null | nvidia/stt_en_conformer_ctc_large | 19 | 5,058 | nemo | 2022-04-09T03:43:21 | ---
language:
- en
library_name: nemo
datasets:
- librispeech_asr
- fisher_corpus
- Switchboard-1
- WSJ-0
- WSJ-1
- National-Singapore-Corpus-Part-1
- National-Singapore-Corpus-Part-6
- vctk
- VoxPopuli-(EN)
- Europarl-ASR-(EN)
- Multilingual-LibriSpeech-(2000-hours)
- mozilla-foundation/common_voice_7_0
thumbnail: nul... | 10,055 | [
[
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0.0207061767578125,
-0.031463623046875,
-0.03814697265625,
-0.04214... |
shibing624/text2vec-base-multilingual | 2023-06-26T02:45:20.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"text2vec",
"sentence-similarity",
"mteb",
"zh",
"en",
"de",
"fr",
"it",
"nl",
"pt",
"pl",
"ru",
"dataset:https://huggingface.co/datasets/shibing624/nli-zh-all/tree/main/text2vec-base-multilingual-dataset",
"license:apache-2.... | sentence-similarity | shibing624 | null | null | shibing624/text2vec-base-multilingual | 27 | 5,056 | transformers | 2023-06-22T06:28:12 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- text2vec
- feature-extraction
- sentence-similarity
- transformers
- mteb
datasets:
- >-
https://huggingface.co/datasets/shibing624/nli-zh-all/tree/main/text2vec-base-multilingual-dataset
language:
- zh
- en
- de
- fr
- it
- nl
- pt
- pl
- ru
metrics:
... | 87,623 | [
[
-0.01183319091796875,
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-0.042266845703125,
0.013... |
dbmdz/bert-base-italian-xxl-cased | 2023-09-06T22:19:43.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"it",
"dataset:wikipedia",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | dbmdz | null | null | dbmdz/bert-base-italian-xxl-cased | 16 | 5,036 | transformers | 2022-03-02T23:29:05 | ---
language: it
license: mit
datasets:
- wikipedia
---
# 🤗 + 📚 dbmdz BERT and ELECTRA models
In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State
Library open sources Italian BERT and ELECTRA models 🎉
# Italian BERT
The source data for the Italian BERT model consists of a recent Wikiped... | 5,994 | [
[
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... |
defog/sqlcoder | 2023-09-15T17:47:36.000Z | [
"transformers",
"pytorch",
"gpt_bigcode",
"text-generation",
"code",
"en",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | defog | null | null | defog/sqlcoder | 250 | 5,033 | transformers | 2023-08-11T21:55:26 | ---
license: other
language:
- en
metrics:
- code_eval
library_name: transformers
pipeline_tag: text-generation
tags:
- code
inference: false
---
# Defog SQLCoder
Defog's SQLCoder is a state-of-the-art LLM for converting natural language questions to SQL queries.
[Interactive Demo](https://defog.ai/sqlcoder-demo) | [... | 3,741 | [
[
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0.0350341796875,
-0.04132080078125,
-0.03472900390625,
-0.0288848876953125,... |
indobenchmark/indobert-base-p2 | 2021-05-19T20:24:07.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"indobert",
"indobenchmark",
"indonlu",
"id",
"dataset:Indo4B",
"arxiv:2009.05387",
"license:mit",
"has_space",
"region:us"
] | feature-extraction | indobenchmark | null | null | indobenchmark/indobert-base-p2 | 3 | 5,023 | transformers | 2022-03-02T23:29:05 | ---
language: id
tags:
- indobert
- indobenchmark
- indonlu
license: mit
inference: false
datasets:
- Indo4B
---
# IndoBERT Base Model (phase2 - uncased)
[IndoBERT](https://arxiv.org/abs/2009.05387) is a state-of-the-art language model for Indonesian based on the BERT model. The pretrained model is trained using a ma... | 2,712 | [
[
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-0.037506103515625,
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0.01519012451171875,
0.036590576171875,
-0.0240936279296875,
-0.0273895263671875,
-0.04998779296875,... |
NumbersStation/nsql-350M | 2023-07-04T02:29:52.000Z | [
"transformers",
"pytorch",
"codegen",
"text-generation",
"license:bsd-3-clause",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | NumbersStation | null | null | NumbersStation/nsql-350M | 27 | 5,020 | transformers | 2023-07-04T02:29:52 | ---
license: bsd-3-clause
inference:
parameters:
do_sample: false
max_length: 200
widget:
- text: "CREATE TABLE stadium (\n stadium_id number,\n location text,\n name text,\n capacity number,\n)\n\n-- Using valid SQLite, answer the following questions for the tables provided above.\n\n-- how many ... | 5,570 | [
[
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0.051971435546875,
-0.049896240234375,
-0.0328369140625,
-0.01192474365234375,... |
sentence-transformers/gtr-t5-base | 2022-02-09T12:27:26.000Z | [
"sentence-transformers",
"pytorch",
"t5",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"arxiv:2112.07899",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/gtr-t5-base | 10 | 5,019 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
language: en
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/gtr-t5-base
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 di... | 1,893 | [
[
-0.009185791015625,
-0.05279541015625,
0.033172607421875,
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0.0384521484375,
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... |
Helsinki-NLP/opus-mt-en-fi | 2023-08-16T11:29:32.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-en-fi | 1 | 5,018 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-fi
* source languages: en
* target languages: fi
* OPUS readme: [en-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fi/README.md)
* dataset: opus+bt-news
* model: transformer
* pre-processing: normalization + SentencePiece
* dow... | 878 | [
[
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0.03680419921875,
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... |
Yntec/OrangeRemix | 2023-07-31T12:09:14.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"WarriorMama777",
"NovelAI",
"AnythingV3.0",
"hesw23168",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/OrangeRemix | 4 | 5,018 | diffusers | 2023-07-31T09:45:25 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- WarriorMama777
- NovelAI
- AnythingV3.0
- hesw23168
---
# Orange Remix
I did a blind test of all the models at https://huggingface.co/WarriorMama7... | 2,004 | [
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... |
sentence-transformers/paraphrase-distilroberta-base-v2 | 2022-06-15T19:42:26.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"jax",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/paraphrase-distilroberta-base-v2 | 7 | 5,016 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/paraphrase-distilroberta-base-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensi... | 3,741 | [
[
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0.031646728515625,
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... |
EleutherAI/pythia-410m-v0 | 2023-07-10T01:34:52.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"pythia_v0",
"en",
"dataset:the_pile",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | EleutherAI | null | null | EleutherAI/pythia-410m-v0 | 7 | 5,013 | transformers | 2022-10-16T18:39:39 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
- pythia_v0
license: apache-2.0
datasets:
- the_pile
---
The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research. It contains two sets of eight models of sizes
70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For ea... | 11,782 | [
[
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0.0175628662109375,
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Helsinki-NLP/opus-mt-tc-big-sh-en | 2023-10-10T10:32:07.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"opus-mt-tc",
"bs_Latn",
"en",
"hr",
"sh",
"sr_Cyrl",
"sr_Latn",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-tc-big-sh-en | 0 | 5,011 | transformers | 2022-04-13T16:21:20 | ---
language:
- bs_Latn
- en
- hr
- sh
- sr_Cyrl
- sr_Latn
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-sh-en
results:
- task:
name: Translation hrv-eng
type: translation
args: hrv-eng
dataset:
name: flores101-devtest
type: flores_101
... | 7,261 | [
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bigscience/bigscience-small-testing | 2023-03-24T08:39:39.000Z | [
"transformers",
"pytorch",
"safetensors",
"bloom",
"feature-extraction",
"integration",
"text-generation",
"eng",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | bigscience | null | null | bigscience/bigscience-small-testing | 3 | 5,010 | transformers | 2022-04-22T11:04:10 | ---
language:
- eng
tags:
- integration
pipeline_tag: text-generation
---
# BigScience - testing model
This model aims to test the conversion between Megatron-LM and transformers. It is a small ```GPT-2```-like model that has been used to debug the script. Use it only for integration tests | 295 | [
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0.0361328125,
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0.... |
ItsJayQz/Marvel_WhatIf_Diffusion | 2023-01-28T01:05:13.000Z | [
"diffusers",
"safetensors",
"Marvel",
"Animation",
"stable-diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | ItsJayQz | null | null | ItsJayQz/Marvel_WhatIf_Diffusion | 48 | 5,005 | diffusers | 2022-12-11T03:42:16 | ---
language:
- en
license: creativeml-openrail-m
tags:
- Marvel
- Animation
- stable-diffusion
- text-to-image
- diffusers
inference: true
---
### Marvel What_If Diffusion
This model was trained on images from the animated Marvel Disney+ show What If.
Which includes characters, background, and some objects.
Please ch... | 2,762 | [
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0.034210205078125,
0.04583740234375,
-0.061187744140625,
-0.0396728515625,
-0.055633544921875,
0.0... |
yarongef/DistilProtBert | 2022-09-21T08:38:51.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"protein language model",
"dataset:Uniref50",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | yarongef | null | null | yarongef/DistilProtBert | 6 | 4,994 | transformers | 2022-03-30T10:07:23 | ---
license: mit
tags:
- protein language model
datasets:
- Uniref50
---
# DistilProtBert
A distilled version of [ProtBert-UniRef100](https://huggingface.co/Rostlab/prot_bert) model.
In addition to cross entropy and cosine teacher-student losses, DistilProtBert was pretrained on a masked language modeling (MLM) objec... | 3,608 | [
[
-0.02227783203125,
-0.0400390625,
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timm/tf_mobilenetv3_small_minimal_100.in1k | 2023-04-27T22:49:57.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.02244",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_mobilenetv3_small_minimal_100.in1k | 0 | 4,994 | timm | 2022-12-16T05:39:34 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_mobilenetv3_small_minimal_100.in1k
A MobileNet-v3 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **... | 4,190 | [
[
-0.031646728515625,
-0.026641845703125,
-0.0009679794311523438,
0.00850677490234375,
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0.0208892822265625,
0.0287017822265625,
-0.0238800048828125,
-0.058685302734375,
-0.04537963867... |
sentence-transformers/all-MiniLM-L6-v1 | 2021-08-30T20:00:14.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"en",
"arxiv:1904.06472",
"arxiv:2102.07033",
"arxiv:2104.08727",
"arxiv:1704.05179",
"arxiv:1810.09305",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/all-MiniLM-L6-v1 | 12 | 4,991 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language: en
license: apache-2.0
---
# all-MiniLM-L6-v1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used ... | 9,898 | [
[
-0.0259246826171875,
-0.0628662109375,
0.0228271484375,
0.004497528076171875,
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0.0265960693359375,
0.014801025390625,
-0.03948974609375,
-0.040802001953125,
-0.04510498046875,
0.... |
timm/maxvit_tiny_tf_224.in1k | 2023-05-11T00:23:16.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_tiny_tf_224.in1k | 0 | 4,983 | timm | 2022-12-02T21:57:24 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_tiny_tf_224.in1k
An official MaxViT image classification model. Trained in tensorflow on ImageNet-1k by paper authors.
Ported from official Tensorflow implementation (https://github.com/go... | 22,103 | [
[
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-... |
iZELX1/Grapefruit | 2023-03-06T14:48:29.000Z | [
"diffusers",
"Grapefruit",
"stable diffusion",
"stable diffusion diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | iZELX1 | null | null | iZELX1/Grapefruit | 147 | 4,979 | diffusers | 2023-01-31T05:33:20 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
thumbnail: https://cdn.discordapp.com/attachments/1029635339851141183/1069881140829245480/a.png
tags:
- Grapefruit
- stable diffusion
- stable diffusion diffusers
- diffusers
---
### Grapefruit (hentai model)
- # **[G... | 2,207 | [
[
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-0.0281524658203125,
-0.0198974609375,
-0.0291290283203125,
0.0... |
castorini/ance-msmarco-passage | 2022-11-09T03:36:05.000Z | [
"transformers",
"pytorch",
"roberta",
"en",
"arxiv:1910.09700",
"endpoints_compatible",
"has_space",
"region:us"
] | null | castorini | null | null | castorini/ance-msmarco-passage | 1 | 4,978 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
---
# Model Card for ance-msmarco-passage
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
# Model Details
## Model Description
Pyserini is primarily designed to provide effective, reproducible, and easy-to-use first-stage... | 4,275 | [
[
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Yntec/DeliberateRealisticWoop | 2023-10-20T02:29:27.000Z | [
"diffusers",
"General",
"Anime",
"Art",
"Girl",
"Photorealistic",
"Realistic",
"Semi-Realistic",
"3D",
"zoidbb",
"XpucT",
"SG_161222",
"osi1880vr",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_spa... | text-to-image | Yntec | null | null | Yntec/DeliberateRealisticWoop | 1 | 4,977 | diffusers | 2023-10-19T22:35:10 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- General
- Anime
- Art
- Girl
- Photorealistic
- Realistic
- Semi-Realistic
- 3D
- zoidbb
- XpucT
- SG_161222
- osi1880vr
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# DeliberateRealisti... | 995 | [
[
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neulab/codebert-java | 2023-02-27T20:55:40.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"arxiv:2302.05527",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | neulab | null | null | neulab/codebert-java | 8 | 4,968 | transformers | 2022-09-26T14:10:02 | This is a `microsoft/codebert-base-mlm` model, trained for 1,000,000 steps (with `batch_size=32`) on **Java** code from the `codeparrot/github-code-clean` dataset, on the masked-language-modeling task.
It is intended to be used in CodeBERTScore: [https://github.com/neulab/code-bert-score](https://github.com/neulab/co... | 851 | [
[
-0.01323699951171875,
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0.032440185546875,
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0.05487060546875,
-0.0433349609375,
-0.056060791015625,
-0.03384399414062... |
facebook/muppet-roberta-large | 2021-06-28T21:44:41.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:2101.11038",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | facebook | null | null | facebook/muppet-roberta-large | 13 | 4,964 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- exbert
license: mit
datasets:
- bookcorpus
- wikipedia
---
# Muppet: Massive Multi-task Representations with Pre-Finetuning
# RoBERTa large model
This is a Massive Multi-task Pre-finetuned version of Roberta large. It was introduced in
[this paper](https://arxiv.org/abs/2101.110... | 3,709 | [
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-0.0212554931640625,
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unaidedelf87777/wizard-mistral-v0.1 | 2023-10-13T17:19:16.000Z | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | unaidedelf87777 | null | null | unaidedelf87777/wizard-mistral-v0.1 | 0 | 4,962 | transformers | 2023-10-10T19:43:37 | ---
license: apache-2.0
pipeline_tag: text-generation
---
![DALL·E 2023-10-11 16.30.48 - Photo of a dark forest with tall, ancient trees. Their branches and leaves form intricate patterns, revealing a portal of swirling magical energy in t.png](https://cdn-uploads.huggingface.co/production/uploads/643c81209f5d314db2de... | 2,293 | [
[
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0.0159912109375,
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0.044036865234375,
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-0.04425048828125,
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... |
Yntec/DucHaitenDarkside4 | 2023-10-09T02:49:19.000Z | [
"diffusers",
"Anime",
"Horror",
"Pixar",
"DucHaiten",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/DucHaitenDarkside4 | 1 | 4,961 | diffusers | 2023-10-09T00:44:33 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Horror
- Pixar
- DucHaiten
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# DucHaitenDarkside4
Original page: https://civitai.com/models/5426?modelVersionId=63193
Sample and prompt... | 634 | [
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-0.04498291015625,
0.00036764144897460... |
ml6team/keyphrase-extraction-distilbert-inspec | 2023-05-06T08:45:37.000Z | [
"transformers",
"pytorch",
"distilbert",
"token-classification",
"keyphrase-extraction",
"en",
"dataset:midas/inspec",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | ml6team | null | null | ml6team/keyphrase-extraction-distilbert-inspec | 21 | 4,949 | transformers | 2022-03-25T08:52:01 | ---
language: en
license: mit
tags:
- keyphrase-extraction
datasets:
- midas/inspec
metrics:
- seqeval
widget:
- text: "Keyphrase extraction is a technique in text analysis where you extract the important keyphrases from a document.
Thanks to these keyphrases humans can understand the content of a text very quickly a... | 12,093 | [
[
-0.00986480712890625,
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0.005817413330078125,
-0.033660888671875,
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0.0054931640625,
0.01568603515625,
-0.032257080078125,
-0.04290771484375,
-0.06866455078125,
0.... |
TheBloke/WizardLM-1.0-Uncensored-Llama2-13B-GPTQ | 2023-09-27T12:45:30.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/WizardLM-1.0-Uncensored-Llama2-13B-GPTQ | 51 | 4,948 | transformers | 2023-08-06T10:53:38 | ---
language:
- en
license: llama2
datasets:
- ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split
model_name: WizardLM 1.0 Uncensored Llama2 13B
base_model: ehartford/WizardLM-1.0-Uncensored-Llama2-13b
inference: false
model_creator: Eric Hartford
model_type: llama
prompt_template: 'You are a helpful AI a... | 16,068 | [
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0.00948333740234375,
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0.01279449462890625,
0.032135009765625,
-0.047210693359375,
-0.035247802734375,
-0.0241851806... |
sail-rvc/Donald_Trump__RVC_v2_ | 2023-07-14T07:22:21.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/Donald_Trump__RVC_v2_ | 1 | 4,945 | transformers | 2023-07-14T07:21:22 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# Donald_Trump__RVC_v2_
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:22:21
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Convert... | 389 | [
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0.07208251953125,
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bigscience/T0pp | 2023-01-02T10:01:35.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:bigscience/P3",
"arxiv:2110.08207",
"license:apache-2.0",
"autotrain_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | bigscience | null | null | bigscience/T0pp | 381 | 4,943 | transformers | 2022-03-02T23:29:05 | ---
datasets:
- bigscience/P3
language: en
license: apache-2.0
widget:
- text: "A is the son's of B's uncle. What is the family relationship between A and B?"
- text: "Reorder the words in this sentence: justin and name bieber years is my am I 27 old."
- text: "Task: copy but say the opposite.\n
PSG won its match again... | 19,066 | [
[
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0.02752685546875,
-0.037139892578125,
-0.04791259765625,
-0.04806518554687... |
Yntec/EstheticRetroAnime | 2023-11-03T02:36:15.000Z | [
"diffusers",
"Anime",
"Vintage",
"Sexy",
"OneRing",
"text-to-image",
"stable-diffusion",
"stable-diffusion-diffusers",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/EstheticRetroAnime | 1 | 4,940 | diffusers | 2023-10-15T20:12:20 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Vintage
- Sexy
- OneRing
- text-to-image
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
---
# Esthetic Retro Anime
Original page: https://civitai.com/models/137781?modelVersionId=152147
![Sample](https... | 721 | [
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BridgeTower/bridgetower-base | 2023-01-27T02:14:31.000Z | [
"transformers",
"pytorch",
"bridgetower",
"en",
"dataset:conceptual_captions",
"dataset:sbu_captions",
"dataset:visual_genome",
"dataset:mscoco_captions",
"arxiv:2206.08657",
"arxiv:1504.00325",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | BridgeTower | null | null | BridgeTower/bridgetower-base | 6 | 4,928 | transformers | 2022-12-06T23:39:38 | ---
language: en
tags:
- bridgetower
license: mit
datasets:
- conceptual_captions
- sbu_captions
- visual_genome
- mscoco_captions
---
# BridgeTower base model
The BridgeTower model was proposed in "BridgeTower: Building Bridges Between Encoders in Vision-Language Representative Learning" by Xiao Xu, Chenfei Wu, Shac... | 4,523 | [
[
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... |
line-corporation/japanese-large-lm-3.6b-instruction-sft | 2023-08-24T10:08:28.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"ja",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | line-corporation | null | null | line-corporation/japanese-large-lm-3.6b-instruction-sft | 21 | 4,921 | transformers | 2023-08-03T01:34:20 | ---
license: apache-2.0
inference: false
language: ja
---
# japanese-large-lm-3.6b-instruction-sft
This repository provides a 3.6B parameters Japanese language model, fine-tuned and trained by [LINE Corporation](https://linecorp.com/ja/).
## For Japanese
詳細な説明や実験に関しては「[Instruction Tuningにより対話性能を向上させた3.6B日本語言語モデルを公開... | 1,597 | [
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0.0531005859375,
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0.01... |
mnaylor/mega-base-wikitext | 2023-06-28T20:32:48.000Z | [
"transformers",
"pytorch",
"safetensors",
"mega",
"fill-mask",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | mnaylor | null | null | mnaylor/mega-base-wikitext | 0 | 4,915 | transformers | 2023-02-21T20:56:10 | ---
license: apache-2.0
language:
- en
library_name: transformers
---
# Mega Masked LM on wikitext-103
This is the location on the Hugging Face hub for the Mega MLM checkpoint. I trained this model on the `wikitext-103` dataset using standard
BERT-style masked LM pretraining using the [original Mega repository](http... | 842 | [
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0.00... |
anuragshas/wav2vec2-large-xlsr-53-telugu | 2021-07-05T21:31:14.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"xlsr-fine-tuning-week",
"te",
"dataset:openslr",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | anuragshas | null | null | anuragshas/wav2vec2-large-xlsr-53-telugu | 1 | 4,911 | transformers | 2022-03-02T23:29:05 | ---
language: te
datasets:
- openslr
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Anurag Singh XLSR Wav2Vec2 Large 53 Telugu
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:... | 4,895 | [
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facebook/data2vec-audio-base-960h | 2022-05-24T10:41:22.000Z | [
"transformers",
"pytorch",
"data2vec-audio",
"automatic-speech-recognition",
"speech",
"hf-asr-leaderboard",
"en",
"dataset:librispeech_asr",
"arxiv:2202.03555",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | facebook | null | null | facebook/data2vec-audio-base-960h | 8 | 4,904 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
- hf-asr-leaderboard
license: apache-2.0
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
src: https://cdn-media.huggingface.co/speech_samples/sample2.fla... | 4,863 | [
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0.0204925537109375,
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-0.050048828125,
-0.0382080078125,
... |
timm/convnextv2_large.fcmae_ft_in22k_in1k_384 | 2023-03-31T23:38:51.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_large.fcmae_ft_in22k_in1k_384 | 0 | 4,904 | timm | 2023-01-05T01:54:26 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_large.fcmae_ft_in22k_in1k_384
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on Imag... | 15,838 | [
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s-nlp/xlmr_formality_classifier | 2023-09-08T08:50:17.000Z | [
"transformers",
"pytorch",
"safetensors",
"xlm-roberta",
"text-classification",
"formal or informal classification",
"en",
"fr",
"it",
"pt",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | s-nlp | null | null | s-nlp/xlmr_formality_classifier | 3 | 4,880 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
- fr
- it
- pt
tags:
- formal or informal classification
licenses:
- cc-by-nc-sa
license: cc-by-nc-sa-4.0
---
XLMRoberta-based classifier trained on XFORMAL.
all
| | precision | recall | f1-score | support |
|--------------|-----------|----------|----------|---------|
| 0 ... | 3,122 | [
[
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0.01007843017578125,
-0.033172607421875,
-0.055389404296875,
-0.06097412109375,... |
sentence-transformers/msmarco-distilbert-cos-v5 | 2023-11-02T09:31:54.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"arxiv:1908.10084",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/msmarco-distilbert-cos-v5 | 6 | 4,876 | sentence-transformers | 2022-03-02T23:29:05 | ---
language:
- en
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# msmarco-distilbert-cos-v5
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and was des... | 5,133 | [
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0.0... |
textattack/bert-base-uncased-MRPC | 2021-05-20T07:32:52.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | textattack | null | null | textattack/bert-base-uncased-MRPC | 0 | 4,876 | transformers | 2022-03-02T23:29:05 | ## TextAttack Model Card
This `bert-base-uncased` model was fine-tuned for sequence classification using TextAttack
and the glue dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 16, a learning
rate of 2e-05, and a maximum sequence length of 256.
Since this was a cla... | 622 | [
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0.0192718505859375,
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nicky007/stable-diffusion-logo-fine-tuned | 2023-01-14T11:26:53.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | nicky007 | null | null | nicky007/stable-diffusion-logo-fine-tuned | 83 | 4,866 | diffusers | 2022-12-29T12:47:32 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### stable-diffusion-LOGO-fine-tuned model trained by nicky007
this Stable diffusion model i have fine tuned on 1000 raw logo png/jpg images of of size 128x128 with augmentation
Enjoy .create any type of logo
for examples:"Logo of a pi... | 423 | [
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-0.025115966796875,
-0.04254150390625,
-0.016510009... |
nvidia/groupvit-gcc-yfcc | 2022-09-26T13:54:38.000Z | [
"transformers",
"pytorch",
"tf",
"groupvit",
"feature-extraction",
"vision",
"arxiv:2202.11094",
"endpoints_compatible",
"region:us"
] | feature-extraction | nvidia | null | null | nvidia/groupvit-gcc-yfcc | 6 | 4,865 | transformers | 2022-06-21T08:48:32 | ---
tags:
- vision
---
# Model Card: GroupViT
This checkpoint is uploaded by Jiarui Xu.
## Model Details
The GroupViT model was proposed in [GroupViT: Semantic Segmentation Emerges from Text Supervision](https://arxiv.org/abs/2202.11094) by Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas Breuel, Jan K... | 3,566 | [
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0.00933837890625,
0.0211944580078125,
-0.043701171875,
-0.056060791015625,
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... |
Elron/bleurt-tiny-512 | 2022-11-26T15:13:43.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | text-classification | Elron | null | null | Elron/bleurt-tiny-512 | 2 | 4,848 | transformers | 2022-03-02T23:29:04 | ---
tags:
- text-classification
- bert
---
# Model Card for bleurt-tiny-512
# Model Details
## Model Description
Pytorch version of the original BLEURT models from ACL paper
- **Developed by:** Elron Bandel, Thibault Sellam, Dipanjan Das and Ankur P. Parikh of Google Research
- **Shared by [Optional]:** Elron... | 4,639 | [
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... |
stablediffusionapi/disney-pixar-cartoon | 2023-07-12T15:29:05.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/disney-pixar-cartoon | 13 | 4,848 | diffusers | 2023-07-12T15:26:19 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# Disney Pixar Cartoon type B API Inference
## Get API Ke... | 2,516 | [
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facebook/mms-1b-fl102 | 2023-08-13T08:33:09.000Z | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"mms",
"ab",
"af",
"ak",
"am",
"ar",
"as",
"av",
"ay",
"az",
"ba",
"bm",
"be",
"bn",
"bi",
"bo",
"sh",
"br",
"bg",
"ca",
"cs",
"ce",
"cv",
"ku",
"cy",
"da",
"de",
"dv... | automatic-speech-recognition | facebook | null | null | facebook/mms-1b-fl102 | 15 | 4,841 | transformers | 2023-05-27T14:17:11 | ---
tags:
- mms
language:
- ab
- af
- ak
- am
- ar
- as
- av
- ay
- az
- ba
- bm
- be
- bn
- bi
- bo
- sh
- br
- bg
- ca
- cs
- ce
- cv
- ku
- cy
- da
- de
- dv
- dz
- el
- en
- eo
- et
- eu
- ee
- fo
- fa
- fj
- fi
- fr
- fy
- ff
- ga
- gl
- gn
- gu
- zh
- ht
- ha
- he
- hi
- sh
- hu
- hy
- ig
- ia
- ms
- is
- it
- jv... | 7,245 | [
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0.0130767822265625,
0.020721435546875,
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... |
timm/resnext101_64x4d.c1_in1k | 2023-04-05T19:26:02.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2110.00476",
"arxiv:1611.05431",
"arxiv:1512.03385",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnext101_64x4d.c1_in1k | 0 | 4,836 | timm | 2023-04-05T19:24:43 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnext101_64x4d.c1_in1k
A ResNeXt-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
* grouped 3x3 bottleneck con... | 38,914 | [
[
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0.08172607421875,
0.0213165283203125,
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-0... |
timm/tinynet_e.in1k | 2023-04-27T21:50:33.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2010.14819",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tinynet_e.in1k | 0 | 4,832 | timm | 2022-12-13T00:22:26 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tinynet_e.in1k
A TinyNet image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- P... | 3,926 | [
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IMSyPP/hate_speech_en | 2023-10-31T18:16:17.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"en",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | IMSyPP | null | null | IMSyPP/hate_speech_en | 9 | 4,826 | transformers | 2022-03-02T23:29:04 | ---
widget:
- text: "My name is Mark and I live in London. I am a postgraduate student at Queen Mary University."
language:
- en
license: mit
---
# Hate Speech Classifier for Social Media Content in English Language
A monolingual model for hate speech classification of social media content in English language. Th... | 970 | [
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0.00... |
lambdalabs/miniSD-diffusers | 2023-05-16T09:32:11.000Z | [
"diffusers",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | lambdalabs | null | null | lambdalabs/miniSD-diffusers | 2 | 4,818 | diffusers | 2022-11-24T12:22:20 | ---
license: creativeml-openrail-m
---
## Usage
```python
from diffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_pretrained("lambdalabs/miniSD-diffusers")
pipe = pipe.to("cuda")
prompt = "a photograph of an wrinkly old man laughing"
image = pipe(prompt, width=256, height=256).images[0]
... | 1,748 | [
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0.0200042724609375,
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Helsinki-NLP/opus-mt-de-es | 2023-08-16T11:27:48.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"de",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-de-es | 0 | 4,813 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-es
* source languages: de
* target languages: es
* OPUS readme: [de-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
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0.02128601074... |
BAAI/bge-base-zh-v1.5 | 2023-10-12T03:35:51.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"zh",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | BAAI | null | null | BAAI/bge-base-zh-v1.5 | 13 | 4,812 | sentence-transformers | 2023-09-12T05:21:53 | ---
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
license: mit
language:
- zh
---
<h1 align="center">FlagEmbedding</h1>
<h4 align="center">
<p>
<a href=#model-list>Model List</a> |
<a href=#frequently-asked-questions>FAQ</a> |
<a href=#usage>Usa... | 27,253 | [
[
-0.036651611328125,
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timm/convnextv2_large.fcmae_ft_in22k_in1k | 2023-03-31T23:37:03.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_large.fcmae_ft_in22k_in1k | 0 | 4,810 | timm | 2023-01-05T01:53:07 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_large.fcmae_ft_in22k_in1k
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on ImageNet... | 15,842 | [
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-0.03961181640625,
-0.053192138671875,
-0.00411... |
facebook/deit-tiny-distilled-patch16-224 | 2022-07-13T11:41:55.000Z | [
"transformers",
"pytorch",
"tf",
"deit",
"image-classification",
"vision",
"dataset:imagenet",
"arxiv:2012.12877",
"arxiv:2006.03677",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | facebook | null | null | facebook/deit-tiny-distilled-patch16-224 | 3 | 4,807 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- image-classification
- vision
datasets:
- imagenet
---
# Distilled Data-efficient Image Transformer (tiny-sized model)
Distilled data-efficient Image Transformer (DeiT) model pre-trained and fine-tuned on ImageNet-1k (1 million images, 1,000 classes) at resolution 224x224. It was firs... | 6,804 | [
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Schisim/Experience | 2023-08-10T16:16:17.000Z | [
"diffusers",
"text-to-image",
"art",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | Schisim | null | null | Schisim/Experience | 14 | 4,790 | diffusers | 2023-01-31T22:39:54 | ---
license: creativeml-openrail-m
library_name: diffusers
tags:
- text-to-image
- art
---
<h1>Experience 🚀</h1>
### Experience 7.0
<img src="https://huggingface.co/Schisim/Experience/resolve/main/Images/7.0/00024-3240294908.png" width=768/>
<br>
<img src="https://huggingface.co/Schisim/Experience/resolve/main/Ima... | 984 | [
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0.01343... |
cssupport/mobilebert-sql-injection-detect | 2023-08-31T22:55:40.000Z | [
"transformers",
"pytorch",
"mobilebert",
"pretraining",
"text-classification",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | cssupport | null | null | cssupport/mobilebert-sql-injection-detect | 2 | 4,788 | transformers | 2023-08-31T20:16:50 | ---
license: apache-2.0
language:
- en
pipeline_tag: text-classification
---
# Model Card for Model ID
<!-- Based on https://huggingface.co/t5-small, model generates SQL from text given table list with "CREATE TABLE" statements.
This is a very light weigh model and could be used in multiple analytical applications. ... | 4,509 | [
[
-0.0135650634765625,
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-0... |
timm/eva02_large_patch14_448.mim_m38m_ft_in1k | 2023-03-31T05:46:32.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2303.11331",
"arxiv:2303.15389",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/eva02_large_patch14_448.mim_m38m_ft_in1k | 6 | 4,781 | timm | 2023-03-31T04:41:55 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for eva02_large_patch14_448.mim_m38m_ft_in1k
An EVA02 image classification model. Pretrained on Merged-38M (IN-22K, CC12M, CC3M, COCO (train), ADE20K (train), Object365, and OpenImages) with m... | 5,478 | [
[
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speechbrain/tts-hifigan-ljspeech | 2023-10-10T22:56:55.000Z | [
"speechbrain",
"Vocoder",
"HiFIGAN",
"text-to-speech",
"TTS",
"speech-synthesis",
"en",
"dataset:LJSpeech",
"arxiv:2010.05646",
"license:apache-2.0",
"has_space",
"region:us"
] | text-to-speech | speechbrain | null | null | speechbrain/tts-hifigan-ljspeech | 18 | 4,776 | speechbrain | 2022-05-28T22:37:20 | ---
language: "en"
inference: false
tags:
- Vocoder
- HiFIGAN
- text-to-speech
- TTS
- speech-synthesis
- speechbrain
license: "apache-2.0"
datasets:
- LJSpeech
---
# Vocoder with HiFIGAN trained on LJSpeech
This repository provides all the necessary tools for using a [HiFIGAN](https://arxiv.org/abs/2010.05646) vocod... | 4,498 | [
[
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0.0318603515625,
-0.0240478515625,
-0.035430908203125,
-0.035736083984375,... |
yunusemreemik/logo-qna-model | 2022-12-24T23:12:06.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"tr",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | yunusemreemik | null | null | yunusemreemik/logo-qna-model | 1 | 4,768 | transformers | 2022-03-02T23:29:05 | ---
language: tr
---
# Turkish Question Answering Model : Question Answering
Inspired by savasy/bert-base-turkish-squad,
* Inspired model: https://huggingface.co/savasy/bert-base-turkish-squad
* BERT-base: https://huggingface.co/dbmdz/bert-base-turkish-uncased
* Dataset: Private QnA Chatbot Database
# Training Code... | 4,705 | [
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timm/resnext26ts.ra2_in1k | 2023-03-22T07:28:36.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1611.05431",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnext26ts.ra2_in1k | 0 | 4,760 | timm | 2023-03-22T07:28:27 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for resnext26ts.ra2_in1k
A ResNeXt image classification model. This model features a tiered 3-layer stem and SiLU activations. Trained on ImageNet-1k by Ross Wightman in `timm`.
This model architectu... | 4,590 | [
[
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-0.05181884765625,
-... |
DeepPavlov/distilrubert-base-cased-conversational | 2022-05-06T11:58:43.000Z | [
"transformers",
"pytorch",
"distilbert",
"ru",
"arxiv:2205.02340",
"endpoints_compatible",
"region:us"
] | null | DeepPavlov | null | null | DeepPavlov/distilrubert-base-cased-conversational | 2 | 4,751 | transformers | 2022-03-02T23:29:04 | ---
language:
- ru
---
# distilrubert-base-cased-conversational
Conversational DistilRuBERT \(Russian, cased, 6‑layer, 768‑hidden, 12‑heads, 135.4M parameters\) was trained on OpenSubtitles\[1\], [Dirty](https://d3.ru/), [Pikabu](https://pikabu.ru/), and a Social Media segment of Taiga corpus\[2\] (as [Conversational R... | 3,211 | [
[
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naclbit/trinart_characters_19.2m_stable_diffusion_v1 | 2023-05-07T17:12:10.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | naclbit | null | null | naclbit/trinart_characters_19.2m_stable_diffusion_v1 | 171 | 4,745 | diffusers | 2022-10-15T01:21:16 | ---
inference: false
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
license: creativeml-openrail-m
---
## Note
A newer version of this model has been released:
https://huggingface.co/naclbit/trinart_derrida_characters_v2_stable_diffusion
## Stable Diffusion TrinArt Characters model v1
tri... | 5,663 | [
[
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0.0197... |
google/ddpm-celebahq-256 | 2022-07-21T15:00:31.000Z | [
"diffusers",
"pytorch",
"unconditional-image-generation",
"arxiv:2006.11239",
"license:apache-2.0",
"has_space",
"diffusers:DDPMPipeline",
"region:us"
] | unconditional-image-generation | google | null | null | google/ddpm-celebahq-256 | 21 | 4,744 | diffusers | 2022-07-19T10:42:22 | ---
license: apache-2.0
tags:
- pytorch
- diffusers
- unconditional-image-generation
---
# Denoising Diffusion Probabilistic Models (DDPM)
**Paper**: [Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239)
**Authors**: Jonathan Ho, Ajay Jain, Pieter Abbeel
**Abstract**:
*We present high qualit... | 2,991 | [
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wu981526092/Sentence-Level-Stereotype-Detector | 2023-09-18T01:49:58.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"en",
"dataset:stereoset",
"dataset:crows_pairs",
"dataset:wu981526092/MGSD",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | wu981526092 | null | null | wu981526092/Sentence-Level-Stereotype-Detector | 1 | 4,743 | transformers | 2023-06-29T16:02:37 | ---
license: mit
datasets:
- stereoset
- crows_pairs
- wu981526092/MGSD
language:
- en
metrics:
- f1
- recall
- precision
- accuracy
---
# Sentence-Level Stereotype Classifier
The Sentence-Level Stereotype Classifier is a transformer-based model developed to detect and classify different types of stereotypes present ... | 1,890 | [
[
-0.0341796875,
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alvaroalon2/biobert_chemical_ner | 2023-03-17T12:10:54.000Z | [
"transformers",
"pytorch",
"tf",
"bert",
"token-classification",
"NER",
"Biomedical",
"Chemicals",
"en",
"dataset:BC5CDR-chemicals",
"dataset:BC4CHEMD",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | alvaroalon2 | null | null | alvaroalon2/biobert_chemical_ner | 15 | 4,737 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
tags:
- token-classification
- NER
- Biomedical
- Chemicals
datasets:
- BC5CDR-chemicals
- BC4CHEMD
---
BioBERT model fine-tuned in NER task with BC5CDR-chemicals and BC4CHEMD corpus.
This was fine-tuned in order to use it in a BioNER/BioNEN system which is available at: https://g... | 346 | [
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Yntec/Ninja-Diffusers | 2023-07-22T03:51:47.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Civitai",
"chillpixel",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Ninja-Diffusers | 4 | 4,737 | diffusers | 2023-07-22T03:30:15 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Civitai
- chillpixel
---
# Ninja
Original page:
https://civitai.com/models/78321/ninja
Join the Discord:
https://discord.gg/89Pu5ehUvE | 310 | [
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TheBloke/falcon-40b-instruct-GPTQ | 2023-08-21T11:20:50.000Z | [
"transformers",
"safetensors",
"RefinedWeb",
"text-generation",
"custom_code",
"en",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:2205.14135",
"arxiv:1911.02150",
"arxiv:2005.14165",
"arxiv:2104.09864",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/falcon-40b-instruct-GPTQ | 193 | 4,736 | transformers | 2023-05-27T09:06:50 | ---
datasets:
- tiiuae/falcon-refinedweb
license: apache-2.0
language:
- en
inference: false
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margi... | 16,990 | [
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bigscience/mt0-xxl-mt | 2023-07-25T11:13:55.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"co",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fil",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
"haw",
... | text2text-generation | bigscience | null | null | bigscience/mt0-xxl-mt | 44 | 4,735 | transformers | 2022-10-27T21:21:14 | ---
datasets:
- bigscience/xP3mt
- mc4
license: apache-2.0
language:
- af
- am
- ar
- az
- be
- bg
- bn
- ca
- ceb
- co
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fil
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- haw
- hi
- hmn
- ht
- hu
- hy
- ig
- is
- it
- iw
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- ... | 23,833 | [
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timm/maxvit_tiny_rw_224.sw_in1k | 2023-05-11T00:22:54.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_tiny_rw_224.sw_in1k | 0 | 4,729 | timm | 2023-01-20T21:35:14 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_tiny_rw_224.sw_in1k
A timm specific MaxViT image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
ImageNet-1k training done on TPUs thanks to support of the [TRC](... | 22,112 | [
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vinai/phobert-large | 2022-10-22T08:56:50.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"arxiv:2003.00744",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | vinai | null | null | vinai/phobert-large | 4 | 4,721 | transformers | 2022-03-02T23:29:05 | # <a name="introduction"></a> PhoBERT: Pre-trained language models for Vietnamese
Pre-trained PhoBERT models are the state-of-the-art language models for Vietnamese ([Pho](https://en.wikipedia.org/wiki/Pho), i.e. "Phở", is a popular food in Vietnam):
- Two PhoBERT versions of "base" and "large" are the first publ... | 1,500 | [
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artificialguybr/LogoRedmond-LogoLoraForSDXL-V2 | 2023-10-07T02:41:45.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/LogoRedmond-LogoLoraForSDXL-V2 | 4 | 4,715 | diffusers | 2023-10-07T02:38:38 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: LogoRedmAF, Icons
widget:
- text: LogoRedmAF, Icons
---
# Logo.Redmond V2
Logo.Redmond is here!
I'm grateful for the GPU ... | 1,037 | [
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diffusers/controlnet-depth-sdxl-1.0 | 2023-08-14T10:27:05.000Z | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"controlnet",
"license:openrail++",
"has_space",
"diffusers:ControlNetModel",
"region:us"
] | text-to-image | diffusers | null | null | diffusers/controlnet-depth-sdxl-1.0 | 114 | 4,707 | diffusers | 2023-08-12T17:23:20 |
---
license: openrail++
base_model: stabilityai/stable-diffusion-xl-base-1.0
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- controlnet
inference: false
---
# SDXL-controlnet: Depth
These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with dep... | 3,573 | [
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timm/resnext101_32x4d.gluon_in1k | 2023-04-05T19:03:31.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:1611.05431",
"arxiv:1512.03385",
"arxiv:1812.01187",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnext101_32x4d.gluon_in1k | 0 | 4,704 | timm | 2023-04-05T19:02:52 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnext101_32x4d.gluon_in1k
A ResNeXt-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
* grouped 3x3 bottleneck ... | 38,792 | [
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0.00028061866760... |
Yntec/makeitdoubleplz | 2023-10-31T15:41:43.000Z | [
"diffusers",
"Base Model",
"Person",
"Photorealistic",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Yntec | null | null | Yntec/makeitdoubleplz | 1 | 4,702 | diffusers | 2023-10-31T14:55:59 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Base Model
- Person
- Photorealistic
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# drrjdj
Original page: https://civitai.com/models/109199?modelVersionId=117652
Sample and prompt:
![Sam... | 775 | [
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timm/mobilenetv3_large_100.miil_in21k | 2023-04-27T22:49:15.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-21k-p",
"arxiv:1905.02244",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mobilenetv3_large_100.miil_in21k | 0 | 4,697 | timm | 2022-12-16T05:37:48 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-21k-p
---
# Model card for mobilenetv3_large_100.miil_in21k
A MobileNet-v3 image classification model. Trained on ImageNet-21k-P by Alibaba MIIL.
## Model Details
- **Model Type:** Image classification / feature backb... | 4,039 | [
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Onodofthenorth/SD_PixelArt_SpriteSheet_Generator | 2023-05-05T18:30:10.000Z | [
"diffusers",
"spritesheet",
"text-to-image",
"en",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Onodofthenorth | null | null | Onodofthenorth/SD_PixelArt_SpriteSheet_Generator | 374 | 4,692 | diffusers | 2022-11-01T04:31:21 | ---
license: apache-2.0
language:
- en
pipeline_tag: text-to-image
tags:
- spritesheet
- text-to-image
---
This Stable diffusion checkpoint allows you to generate pixel art sprite sheets from four different angles.
These first images are my results after merging this model with another model trained on my wife. mergin... | 2,925 | [
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ramya442/my-pet-dog | 2023-11-06T08:49:59.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | ramya442 | null | null | ramya442/my-pet-dog | 0 | 4,692 | diffusers | 2023-11-06T08:46:16 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by ramya442 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MRCEW-156
Sample pictures of this concept:
![0](https://huggingface.co... | 385 | [
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seara/rubert-base-cased-ru-go-emotions | 2023-08-25T19:26:01.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"sentiment-analysis",
"multi-label-classification",
"sentiment analysis",
"rubert",
"sentiment",
"russian",
"multilabel",
"classification",
"emotion-classification",
"emotion-recognition",
"emotion",
"ru",
"da... | text-classification | seara | null | null | seara/rubert-base-cased-ru-go-emotions | 1 | 4,688 | transformers | 2023-05-02T17:05:52 | ---
license: mit
language:
- ru
metrics:
- f1
- roc_auc
- precision
- recall
pipeline_tag: text-classification
tags:
- sentiment-analysis
- multi-label-classification
- sentiment analysis
- rubert
- sentiment
- bert
- russian
- multilabel
- classification
- emotion-classification
- emotion-recognition
- emotion
dataset... | 4,310 | [
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facebook/hf-seamless-m4t-medium | 2023-10-30T14:51:11.000Z | [
"transformers",
"pytorch",
"seamless_m4t",
"feature-extraction",
"SeamlessM4T",
"text-to-speech",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-to-speech | facebook | null | null | facebook/hf-seamless-m4t-medium | 6 | 4,678 | transformers | 2023-08-28T16:30:57 | ---
inference: true
tags:
- SeamlessM4T
- seamless_m4t
license: cc-by-nc-4.0
library_name: transformers
pipeline_tag: text-to-speech
---
# SeamlessM4T Medium
SeamlessM4T is a collection of models designed to provide high quality translation, allowing people from different
linguistic communities to communicate effort... | 6,108 | [
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twmkn9/albert-base-v2-squad2 | 2020-12-11T22:02:54.000Z | [
"transformers",
"pytorch",
"albert",
"question-answering",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | twmkn9 | null | null | twmkn9/albert-base-v2-squad2 | 2 | 4,673 | transformers | 2022-03-02T23:29:05 | This model is [ALBERT base v2](https://huggingface.co/albert-base-v2) trained on SQuAD v2 as:
```
export SQUAD_DIR=../../squad2
python3 run_squad.py
--model_type albert
--model_name_or_path albert-base-v2
--do_train
--do_eval
--overwrite_cache
--do_lower_case
--version_2_with_negativ... | 1,182 | [
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0.00616455078125,
0.0205230712890625,
-0.052886962890625,
-0.0258331298828125,
-0.032531738281... |
Helsinki-NLP/opus-mt-es-de | 2023-08-16T11:32:29.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"es",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-es-de | 0 | 4,657 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-de
* source languages: es
* target languages: de
* OPUS readme: [es-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
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0.035797119140625,
-0.051483154296875,
-0.04864501953125,
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darkstorm2150/Protogen_v2.2_Official_Release | 2023-01-27T19:16:44.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"art",
"artistic",
"protogen",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | darkstorm2150 | null | null | darkstorm2150/Protogen_v2.2_Official_Release | 191 | 4,649 | diffusers | 2022-12-31T21:59:09 | ---
language:
- en
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
- protogen
inference: true
license: creativeml-openrail-m
---
<center><img src="https://huggingface.co/darkstorm2150/Protogen_v2.2_Official_Release/resolve/main/Protogen_v2.2-512.png" style="height:690p... | 8,660 | [
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IProject-10/bert-base-uncased-finetuned-squad2 | 2023-09-07T11:10:07.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"bert",
"question-answering",
"generated_from_trainer",
"en",
"dataset:squad_v2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | IProject-10 | null | null | IProject-10/bert-base-uncased-finetuned-squad2 | 2 | 4,647 | transformers | 2023-08-01T05:10:59 | ---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: bert-base-uncased-finetuned-squad
results: []
language:
- en
metrics:
- exact_match
- f1
pipeline_tag: question-answering
---
<!-- This model card has been generated automatically according ... | 3,036 | [
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0.0193634033203125,
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... |
compressed-llm/llama-2-13b-chat-gptq | 2023-10-07T08:28:51.000Z | [
"transformers",
"llama",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | compressed-llm | null | null | compressed-llm/llama-2-13b-chat-gptq | 0 | 4,646 | transformers | 2023-10-03T13:38:40 | ```
from transformers import AutoTokenizer
from auto_gptq import AutoGPTQForCausalLM
model_path = 'efficient-llm/llama-2-13b-chat-gptq'
tokenizer_path = 'meta-llama/Llama-2-7b-hf'
model = AutoGPTQForCausalLM.from_quantized(
model_path,
# inject_fused_attention=False, # or
disable_exllama=True,
... | 685 | [
[
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0.007091522216796875,
0.0023670196533203125,
-0.045013427734375,
-0.0323486328125,
-0.0606079101562... |
deepset/gelectra-large-germanquad | 2023-07-20T06:47:30.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"electra",
"question-answering",
"exbert",
"de",
"dataset:deepset/germanquad",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | deepset | null | null | deepset/gelectra-large-germanquad | 24 | 4,643 | transformers | 2022-03-02T23:29:05 | ---
language: de
datasets:
- deepset/germanquad
license: mit
thumbnail: https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/resize/720x/-/format/webp/germanquad.jpg
tags:
- exbert
---
... | 3,905 | [
[
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0.0057... |
timm/swinv2_tiny_window16_256.ms_in1k | 2023-03-18T03:38:00.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swinv2_tiny_window16_256.ms_in1k | 0 | 4,643 | timm | 2023-03-18T03:37:48 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for swinv2_tiny_window16_256.ms_in1k
A Swin Transformer V2 image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone... | 4,404 | [
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-0... |
noamwies/llama-test-gqa-with-better-transformer | 2023-07-28T12:05:49.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | noamwies | null | null | noamwies/llama-test-gqa-with-better-transformer | 0 | 4,636 | transformers | 2023-07-28T10:48:03 | ---
license: apache-2.0
---
A miniature llama model for testing the llama GQA variant in the BetterTransformer framework. | 123 | [
[
-0.0235748291015625,
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0.015... |
biu-nlp/lingmess-coref | 2022-10-26T08:55:32.000Z | [
"transformers",
"pytorch",
"longformer",
"coreference-resolution",
"en",
"dataset:ontonotes",
"arxiv:2205.12644",
"license:mit",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | null | biu-nlp | null | null | biu-nlp/lingmess-coref | 5 | 4,628 | transformers | 2022-06-09T19:05:32 | ---
language:
- en
tags:
- coreference-resolution
license: mit
datasets:
- ontonotes
metrics:
- CoNLL
task_categories:
- coreference-resolution
model-index:
- name: biu-nlp/lingmess-coref
results:
- task:
type: coreference-resolution
name: coreference-resolution
dataset:
name: ontonotes
... | 1,941 | [
[
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-0.030548095703125,
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timm/vit_base_patch16_224.mae | 2023-05-09T20:20:49.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2111.06377",
"arxiv:2010.11929",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch16_224.mae | 0 | 4,627 | timm | 2023-05-09T20:19:39 | ---
tags:
- image-classification
- timm
library_name: timm
license: cc-by-nc-4.0
---
# Model card for vit_base_patch16_224.mae
A Vision Transformer (ViT) image feature model. Pretrained on ImageNet-1k with Self-Supervised Masked Autoencoder (MAE) method.
## Model Details
- **Model Type:** Image classification / fea... | 3,592 | [
[
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sentence-transformers/msmarco-MiniLM-L-6-v3 | 2022-06-15T21:52:00.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/msmarco-MiniLM-L-6-v3 | 10 | 4,616 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/msmarco-MiniLM-L-6-v3
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense ... | 3,683 | [
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-0.047393798828125,
-0.027587890625,
-0.04840087890625,
... |
MaRiOrOsSi/t5-base-finetuned-question-answering | 2022-04-08T18:00:14.000Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"Generative Question Answering",
"en",
"dataset:duorc",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | MaRiOrOsSi | null | null | MaRiOrOsSi/t5-base-finetuned-question-answering | 23 | 4,616 | transformers | 2022-04-08T07:36:44 | ---
language: en
datasets:
- duorc
widget:
- text: "question: Is Giacomo Italian? context: Giacomo is 25 years old and he was born in Tuscany"
- text: "question: Where does Christian come from? context: Christian is a student of UNISI but he come from Caserta"
- text: "question: Is the dog coat grey? context: You ha... | 2,513 | [
[
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-0.04400634765625,
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-0.01079559326171875,
0.00641632080078125,
-0.0684814453125,
-0.038177490234375,
-0.041168212890... |
digiplay/RealCartoon3D_F16full_v3.1 | 2023-10-19T03:15:28.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/RealCartoon3D_F16full_v3.1 | 13 | 4,612 | diffusers | 2023-07-04T05:55:37 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/94809?modelVersionId=109544
Sample image and prompt :
```
8k uhd RAW, analog photo style of Submarine ,best quality beautiful girl, upper body portrait, ... | 964 | [
[
-0.05291748046875,
-0.0243377685546875,
0.0266571044921875,
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-0.03485107421875,
0.01320648193359375,
0.035675048828125,
-0.0179290771484375,
0.0426025390625,
0.043304443359375,
-0.052825927734375,
-0.0266571044921875,
-0.024200439453125,
... |
skt/ko-gpt-trinity-1.2B-v0.5 | 2021-09-23T16:29:25.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"gpt3",
"ko",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | skt | null | null | skt/ko-gpt-trinity-1.2B-v0.5 | 32 | 4,609 | transformers | 2022-03-02T23:29:05 | ---
language: ko
tags:
- gpt3
license: cc-by-nc-sa-4.0
---
# Ko-GPT-Trinity 1.2B (v0.5)
## Model Description
Ko-GPT-Trinity 1.2B is a transformer model designed using SK telecom's replication of the GPT-3 architecture. Ko-GPT-Trinity refers to the class of models, while 1.2B represents the number of parameters of th... | 3,083 | [
[
-0.0297088623046875,
-0.049285888671875,
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-0.01044464111328125,
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-0.009979248046875,
0.03314208984375,
-0.0279693603515625,
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... |
weiweishi/roc-bert-base-zh | 2022-12-07T08:30:15.000Z | [
"transformers",
"pytorch",
"roc_bert",
"pretraining",
"fill-mask",
"zh",
"doi:10.57967/hf/0097",
"endpoints_compatible",
"region:us"
] | fill-mask | weiweishi | null | null | weiweishi/roc-bert-base-zh | 3 | 4,607 | transformers | 2022-10-13T07:03:32 | ---
language:
- zh
pipeline_tag: "fill-mask"
widget:
- text: "ba黎系[MASK]国的首都"
example_title: "Adversarial Attack Test"
---
# RoCBert
## Introduction
RoCBert is a pretrained Chinese language model that is robust under various forms of adversarial attacks proposed by WeChatAI in 2022,
More detail: https://aclan... | 1,068 | [
[
-0.0110931396484375,
-0.046356201171875,
-0.001674652099609375,
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-0.03558349609375,
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0.024078369140625,
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-0.0386962890625,
-0.0531005859375,
... |
emilianJR/chilloutmix_NiPrunedFp32Fix | 2023-05-25T12:55:16.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | emilianJR | null | null | emilianJR/chilloutmix_NiPrunedFp32Fix | 48 | 4,599 | diffusers | 2023-04-19T11:58:56 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Diffuser model for this SD checkpoint:
https://civitai.com/models/6424/chilloutmix
**emilianJR/chilloutmix_NiPrunedFp32Fix** is the HuggingFace diffuser that you can ... | 1,939 | [
[
-0.049407958984375,
-0.038299560546875,
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0.02923583984375,
-0.05352783203125,
-0.03863525390625,
-0.040771484375,
-0.0110... |
cyberagent/calm2-7b-chat | 2023-11-02T05:47:10.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"japanese",
"causal-lm",
"ja",
"en",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | cyberagent | null | null | cyberagent/calm2-7b-chat | 25 | 4,599 | transformers | 2023-11-01T07:40:30 | ---
license: apache-2.0
language:
- ja
- en
tags:
- japanese
- causal-lm
inference: false
---
# CyberAgentLM2-7B-Chat (CALM2-7B-Chat)
## Model Description
CyberAgentLM2-Chat is a fine-tuned model of [CyberAgentLM2](https://huggingface.co/cyberagent/calm2-7b) for dialogue use cases.
## Requirements
- transformers >= ... | 2,067 | [
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0.0062255859375,
0.03643798828125,
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0.007045745849609375,
0.0167694091796875,
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-0.0210418701171875,
-0.045806884765625,
... |
microsoft/MiniLM-L12-H384-uncased | 2021-05-19T23:29:48.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"arxiv:2002.10957",
"arxiv:1810.04805",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | microsoft | null | null | microsoft/MiniLM-L12-H384-uncased | 52 | 4,594 | transformers | 2022-03-02T23:29:05 | ---
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
tags:
- text-classification
license: mit
---
## MiniLM: Small and Fast Pre-trained Models for Language Understanding and Generation
MiniLM is a distilled model from the paper "[MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression o... | 2,015 | [
[
-0.042755126953125,
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0.02557373046875,
0.00957489013671875,
-0.01419830322265625,
0.0016756057739257812,
-0.0083160400390625,
-0.0201873779296875,
0.00580596923828125,
0.0116424560546875,
-0.07421875,
-0.01293182373046875,
-0.045196533203125,
... |
timm/resnext50_32x4d.tv2_in1k | 2023-04-05T19:00:39.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:1611.05431",
"arxiv:1512.03385",
"license:bsd-3-clause",
"region:us"
] | image-classification | timm | null | null | timm/resnext50_32x4d.tv2_in1k | 0 | 4,593 | timm | 2023-04-05T19:00:11 | ---
tags:
- image-classification
- timm
library_tag: timm
license: bsd-3-clause
---
# Model card for resnext50_32x4d.tv2_in1k
A ResNeXt-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
* grouped 3x3 bottleneck c... | 38,423 | [
[
-0.0650634765625,
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0.0814208984375,
0.0204315185546875,
-0.046661376953125,
-0.039398193359375,
-0.04638671875,
-0.0021057... |
Yntec/ChildrenStoriesAnime | 2023-07-20T14:37:18.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Zovya",
"Children Books",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/ChildrenStoriesAnime | 3 | 4,591 | diffusers | 2023-07-20T13:56:44 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Zovya
- Children Books
---
# Children's Stories Anime
This version of this model by Zovya has the Waifu 1.4 VAE baked in for better saturation.
Or... | 387 | [
[
-0.01123046875,
-0.013580322265625,
0.025299072265625,
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0.0457763671875,
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0.041900634765625,
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-0.0012922286987304688,
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