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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
gsarti/biobert-nli | 2021-05-19T17:45:15.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | feature-extraction | gsarti | null | null | gsarti/biobert-nli | 9 | 883 | transformers | 2022-03-02T23:29:05 | # BioBERT-NLI
This is the model [BioBERT](https://github.com/dmis-lab/biobert) [1] fine-tuned on the [SNLI](https://nlp.stanford.edu/projects/snli/) and the [MultiNLI](https://www.nyu.edu/projects/bowman/multinli/) datasets using the [`sentence-transformers` library](https://github.com/UKPLab/sentence-transformers/) t... | 2,098 | [
[
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0.0295562744140625,
0.01454925537109375,
-0.035369873046875,
-0.05206298828125,
-0.035888671875... |
joachimsallstrom/aether-ghost-lora-for-sdxl | 2023-08-25T19:01:33.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:other",
"has_space",
"region:us"
] | text-to-image | joachimsallstrom | null | null | joachimsallstrom/aether-ghost-lora-for-sdxl | 5 | 883 | diffusers | 2023-08-25T19:01:21 | ---
license: other
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt:
widget:
- text:
---
# Aether Ghost - LoRA for SDXL
<p>Made a little ghost LoRA since I find transparent, translucent ghosts hard ... | 863 | [
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... |
llmware/bling-1.4b-0.1 | 2023-11-04T14:16:35.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"arxiv:2304.01373",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | llmware | null | null | llmware/bling-1.4b-0.1 | 15 | 882 | transformers | 2023-09-29T22:46:59 | ---
license: apache-2.0
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
BLING-1.4b-0.1 is part of the BLING ("Best Little Instruction-following No-GPU-required") model series.
BLING models are fine-tuned with distilled high-quality custom instruct datasets, targeted at a sp... | 5,776 | [
[
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0.0236968994140625,
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philschmid/layoutlm-funsd | 2022-12-19T08:51:49.000Z | [
"generic",
"pytorch",
"tensorboard",
"layoutlm",
"generated_from_trainer",
"endpoints-template",
"other",
"dataset:funsd",
"endpoints_compatible",
"region:us"
] | other | philschmid | null | null | philschmid/layoutlm-funsd | 2 | 881 | generic | 2022-10-04T12:25:48 | ---
tags:
- generated_from_trainer
- endpoints-template
library_name: generic
datasets:
- funsd
model-index:
- name: layoutlm-funsd
results: []
pipeline_tag: other
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and compl... | 6,906 | [
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timm/maxxvitv2_nano_rw_256.sw_in1k | 2023-05-11T00:46:53.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxxvitv2_nano_rw_256.sw_in1k | 0 | 881 | timm | 2023-01-20T21:37:10 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxxvitv2_nano_rw_256.sw_in1k
A timm specific MaxxViT-V2 image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
ImageNet-1k training done on TPUs thanks to support of the... | 22,190 | [
[
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-0.048248291015625,
-0.00410... |
d0rj/rut5-base-summ | 2023-10-05T06:21:49.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"summarization",
"dialogue-summarization",
"ru",
"en",
"dataset:d0rj/samsum-ru",
"dataset:IlyaGusev/gazeta",
"dataset:zjkarina/matreshka",
"dataset:rcp-meetings/rudialogsum_v2",
"dataset:GEM/wiki_lingua",
"dataset:ml... | summarization | d0rj | null | null | d0rj/rut5-base-summ | 8 | 881 | transformers | 2023-06-21T15:11:27 | ---
language:
- ru
- en
tags:
- summarization
- dialogue-summarization
- text2text-generation
- t5
datasets:
- d0rj/samsum-ru
- IlyaGusev/gazeta
- zjkarina/matreshka
- rcp-meetings/rudialogsum_v2
- GEM/wiki_lingua
- mlsum
metrics:
- bleu
- rouge
widget:
- example_title: Diploma Introduction
text: 'Актуальность пробле... | 10,352 | [
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0.020111083984375,
0.01540374755859375,
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-0.042236328125,
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0.... |
digiplay/Landscape_PhotoReal_v1 | 2023-07-03T02:53:33.000Z | [
"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/Landscape_PhotoReal_v1 | 3 | 881 | diffusers | 2023-07-03T02:20:00 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/71987/landscapephotoreal?modelVersionId=76750
Sample images and prompt :
magnificent scenery, wide landscape, sharp and crisp background, very beautiful la... | 1,264 | [
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0.04669189453125,
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-0.050384521484375,
-0.01261138916015625,
-0.0115... |
TheBloke/Llama-2-7B-AWQ | 2023-09-27T12:49:41.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"arxiv:2307.09288",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-7B-AWQ | 2 | 881 | transformers | 2023-09-18T23:38:34 | ---
language:
- en
license: llama2
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 7B
base_model: meta-llama/Llama-2-7b-hf
inference: false
model_creator: Meta
model_type: llama
pipeline_tag: text-generation
prompt_template: '{prompt}
'
quantized_by: TheBloke
---
<!-- header start -->
<!-- 2... | 19,442 | [
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jonatasgrosman/wav2vec2-xls-r-1b-russian | 2022-12-14T02:01:45.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"ru",
"dataset:mozilla-foundation/common_voice_8_0",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:... | automatic-speech-recognition | jonatasgrosman | null | null | jonatasgrosman/wav2vec2-xls-r-1b-russian | 5 | 880 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
license: apache-2.0
tags:
- automatic-speech-recognition
- hf-asr-leaderboard
- mozilla-foundation/common_voice_8_0
- robust-speech-event
- ru
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: XLS-R Wav2Vec2 Russian by Jonatas Grosman
results:
- task:
name: Automatic Spee... | 4,451 | [
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... |
timm/maxvit_rmlp_small_rw_224.sw_in1k | 2023-05-11T00:19:51.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_rmlp_small_rw_224.sw_in1k | 0 | 880 | timm | 2023-01-20T21:34:10 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_rmlp_small_rw_224.sw_in1k
A timm specific MaxViT (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classification model. Trained in `timm` on ... | 22,321 | [
[
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0.029388427734375,
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-0.0248260498046875,
0.053924560546875,
0.0163726806640625,
-0.04248046875,
-0.04754638671875,
-0.047454833984375,
-0.003... |
TheBloke/airoboros-13B-gpt4-1.4-GPTQ | 2023-08-21T07:17:36.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/airoboros-13B-gpt4-1.4-GPTQ | 31 | 880 | transformers | 2023-06-22T08:06:08 | ---
inference: false
license: other
---
<!-- 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; margin: auto;">
</div>
<div style="display: flex; justify-cont... | 20,413 | [
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0.00... |
MNCLLM/Mistral-7B-orca-platy-over1k | 2023-10-30T10:41:50.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"MindsAndCompany",
"mistralai",
"en",
"ko",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | MNCLLM | null | null | MNCLLM/Mistral-7B-orca-platy-over1k | 0 | 880 | transformers | 2023-10-25T06:34:25 | ---
pipeline_tag: text-generation
license: apache-2.0
language:
- en
- ko
library_name: transformers
tags:
- MindsAndCompany
- mistralai
---
## Model Details
* **Developed by**: [Minds And Company](https://mnc.ai/)
* **Backbone Model**: [Mistral-7B-v0.1](mistralai/Mistral-7B-v0.1)
* **Library**: [HuggingFace Transfor... | 668 | [
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PereLluis13/Wav2Vec2-Large-XLSR-53-catalan | 2022-03-29T08:51:28.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"xlsr-fine-tuning-week",
"ca",
"dataset:common_voice",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | PereLluis13 | null | null | PereLluis13/Wav2Vec2-Large-XLSR-53-catalan | 1 | 879 | transformers | 2022-03-02T23:29:04 | ---
language: ca
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Catalan XLSR Wav2Vec Large 53 #TODO: replace {human_readable_name} with a name of your model as it should appear on the leaderboard. It could be... | 6,858 | [
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0.0289459228515625,
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-0.011749... |
timm/maxvit_rmlp_base_rw_224.sw_in12k | 2023-05-11T00:16:13.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-12k",
"arxiv:2204.01697",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_rmlp_base_rw_224.sw_in12k | 0 | 879 | timm | 2023-01-20T21:32:02 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-12k
---
# Model card for maxvit_rmlp_base_rw_224.sw_in12k
A timm specific MaxViT (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classification model. Trained in `timm` on... | 22,253 | [
[
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0.0310211181640625,
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0.053192138671875,
0.015960693359375,
-0.04193115234375,
-0.047088623046875,
-0.04736328125,
-0.004... |
shantanudave/shantanuimagessept10 | 2023-09-16T06:23:42.000Z | [
"diffusers",
"text-to-image",
"autotrain",
"has_space",
"region:us"
] | text-to-image | shantanudave | null | null | shantanudave/shantanuimagessept10 | 2 | 879 | diffusers | 2023-09-16T06:18:49 |
---
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: photo of a sdaveshantanu
tags:
- text-to-image
- diffusers
- autotrain
inference: true
---
# DreamBooth trained by AutoTrain
Text encoder was not trained.
| 237 | [
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-0.03582763671875,
-0.002941131591796875,
-0.059753417968... |
sentence-transformers/sentence-t5-xl | 2022-02-09T14:02:31.000Z | [
"sentence-transformers",
"pytorch",
"t5",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"arxiv:2108.08877",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/sentence-t5-xl | 3 | 878 | 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/sentence-t5-xl
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768... | 2,002 | [
[
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0.... |
InstaDeepAI/nucleotide-transformer-2.5b-multi-species | 2023-10-11T12:30:30.000Z | [
"transformers",
"pytorch",
"tf",
"esm",
"fill-mask",
"DNA",
"biology",
"genomics",
"dataset:InstaDeepAI/multi_species_genomes",
"dataset:InstaDeepAI/nucleotide_transformer_downstream_tasks",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:u... | fill-mask | InstaDeepAI | null | null | InstaDeepAI/nucleotide-transformer-2.5b-multi-species | 12 | 878 | transformers | 2023-04-05T13:07:41 | ---
license: cc-by-nc-sa-4.0
widget:
- text: ACCTGA<mask>TTCTGAGTC
tags:
- DNA
- biology
- genomics
datasets:
- InstaDeepAI/multi_species_genomes
- InstaDeepAI/nucleotide_transformer_downstream_tasks
---
# nucleotide-transformer-2.5b-multi-species model
The Nucleotide Transformers are a collection of foundational lang... | 6,103 | [
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timm/volo_d4_224.sail_in1k | 2023-04-13T06:00:42.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2106.13112",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/volo_d4_224.sail_in1k | 0 | 878 | timm | 2023-04-13T05:57:48 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for volo_d4_224.sail_in1k
A VOLO (Vision Outlooker) image classification model. Trained on ImageNet-1k with token labelling by paper authors.
## Model Details
- **Model Type:** Image classification /... | 2,599 | [
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kazandaev/m2m100_418M-finetuned-en-ru | 2023-10-14T12:03:50.000Z | [
"transformers",
"pytorch",
"m2m_100",
"text2text-generation",
"translation",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | kazandaev | null | null | kazandaev/m2m100_418M-finetuned-en-ru | 0 | 878 | transformers | 2023-10-10T21:30:40 | ---
license: mit
base_model: facebook/m2m100_418M
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: m2m100_418M-finetuned-en-ru
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread a... | 2,157 | [
[
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... |
JeremiahZ/bert-base-uncased-mnli | 2023-09-24T22:18:01.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | JeremiahZ | null | null | JeremiahZ/bert-base-uncased-mnli | 0 | 877 | transformers | 2022-06-21T16:26:22 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
base_model: bert-base-uncased
model-index:
- name: bert-base-uncased-mnli
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: GLUE MNLI
type: glue
... | 5,883 | [
[
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momizi06/GuchaGucha_Shiki | 2023-03-08T03:47:52.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | momizi06 | null | null | momizi06/GuchaGucha_Shiki | 2 | 877 | diffusers | 2023-03-07T11:50:48 | ---
license: creativeml-openrail-m
pipeline_tag: text-to-image
library_name: diffusers
tags:
- stable-diffusion
- stable-diffusion-diffusers
---
This is Model Card of "GuchaGucha_Shiki"(ぐちゃぐちゃ式).
GuchaGucha_Shiki(GGS) is a Merge Model, that can be used with StableDiffusion-Webui:Automatic1111 and others.
Using [Easy... | 2,461 | [
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-0.045135498046875,
-0.059234619140625,
-0.015441... |
sismetanin/rubert-toxic-pikabu-2ch | 2021-05-20T06:16:03.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"toxic comments classification",
"ru",
"endpoints_compatible",
"region:us"
] | text-classification | sismetanin | null | null | sismetanin/rubert-toxic-pikabu-2ch | 7 | 876 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
tags:
- toxic comments classification
---
## RuBERT-Toxic
RuBERT-Toxic is a [RuBERT](https://huggingface.co/DeepPavlov/rubert-base-cased) model fine-tuned on [Kaggle Russian Language Toxic Comments Dataset](https://www.kaggle.com/blackmoon/russian-language-toxic-comments). You can find a detailed ... | 2,179 | [
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-0.05194091796875,
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FinanceInc/auditor_sentiment_finetuned | 2022-12-12T17:30:43.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"autotrain",
"DEV",
"en",
"dataset:rajistics/autotrain-data-auditor-sentiment",
"dataset:FinanceInc/auditor_sentiment",
"model-index",
"co2_eq_emissions",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | FinanceInc | null | null | FinanceInc/auditor_sentiment_finetuned | 11 | 876 | transformers | 2022-07-22T16:42:57 | ---
language: en
tags:
- autotrain
- DEV
datasets:
- rajistics/autotrain-data-auditor-sentiment
- FinanceInc/auditor_sentiment
widget:
- text: Operating profit jumped to EUR 47 million from EUR 6.6 million
co2_eq_emissions: 3.165771608457648
model-index:
- name: auditor_sentiment_finetuned
results:
- task:
ty... | 4,740 | [
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timm/caformer_s36.sail_in22k_ft_in1k | 2023-05-05T05:53:07.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2210.13452",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/caformer_s36.sail_in22k_ft_in1k | 0 | 876 | timm | 2023-05-05T05:52:43 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for caformer_s36.sail_in22k_ft_in1k
A CAFormer (a MetaFormer) image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
-... | 3,752 | [
[
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timm/tf_efficientnetv2_b3.in1k | 2023-04-27T21:39:11.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2104.00298",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnetv2_b3.in1k | 0 | 875 | timm | 2022-12-13T00:14:42 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnetv2_b3.in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Typ... | 4,069 | [
[
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timm/regnety_016.pycls_in1k | 2023-03-21T06:37:41.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2003.13678",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/regnety_016.pycls_in1k | 0 | 875 | timm | 2023-03-21T06:37:31 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for regnety_016.pycls_in1k
A RegNetY-1.6GF image classification model. Pretrained on ImageNet-1k by paper authors.
The `timm` RegNet implementation includes a number of enhancements not present in other imp... | 15,492 | [
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0.0... |
Helsinki-NLP/opus-mt-pa-en | 2023-08-16T12:02:15.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pa",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-pa-en | 1 | 874 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pa-en
* source languages: pa
* target languages: en
* OPUS readme: [pa-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pa-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 851 | [
[
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0.01596069... |
microsoft/swinv2-large-patch4-window12-192-22k | 2022-12-10T10:02:59.000Z | [
"transformers",
"pytorch",
"swinv2",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | microsoft | null | null | microsoft/swinv2-large-patch4-window12-192-22k | 7 | 874 | transformers | 2022-06-15T12:47:41 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https... | 4,202 | [
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-0.00018548965454101562,
-0.04660034179... |
PlanTL-GOB-ES/roberta-large-bne | 2023-01-31T14:00:29.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"national library of spain",
"spanish",
"bne",
"roberta-large-bne",
"es",
"dataset:bne",
"arxiv:1907.11692",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | PlanTL-GOB-ES | null | null | PlanTL-GOB-ES/roberta-large-bne | 13 | 873 | transformers | 2022-03-02T23:29:04 | ---
language:
- es
license: apache-2.0
tags:
- "national library of spain"
- "spanish"
- "bne"
- "roberta-large-bne"
datasets:
- "bne"
metrics:
- "ppl"
widget:
- text: "Por la ventanilla del coche vi la Giralda y pensé que bonita que es la ciudad de <mask>."
- text: "Más vale <mask> que lamentar."
- text:... | 10,828 | [
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juliensimon/xlm-v-base-language-id | 2023-10-09T13:21:16.000Z | [
"transformers",
"pytorch",
"safetensors",
"openvino",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"language-identification",
"dataset:fleurs",
"license:mit",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | juliensimon | null | null | juliensimon/xlm-v-base-language-id | 7 | 873 | transformers | 2023-02-09T14:31:09 | ---
license: mit
tags:
- generated_from_trainer
- language-identification
- openvino
datasets:
- fleurs
metrics:
- accuracy
pipeline_tag: text-classification
base_model: facebook/xlm-v-base
model-index:
- name: xlm-v-base-language-id
results:
- task:
type: text-classification
name: Text Classification
... | 3,444 | [
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shibing624/text2vec-base-chinese-sentence | 2023-06-26T06:49:51.000Z | [
"transformers",
"pytorch",
"ernie",
"feature-extraction",
"text2vec",
"sentence-similarity",
"zh",
"dataset:https://huggingface.co/datasets/shibing624/nli-zh-all/tree/main/text2vec-base-chinese-sentence-dataset",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | shibing624 | null | null | shibing624/text2vec-base-chinese-sentence | 43 | 872 | transformers | 2023-06-16T03:37:02 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- text2vec
- feature-extraction
- sentence-similarity
- transformers
datasets:
- https://huggingface.co/datasets/shibing624/nli-zh-all/tree/main/text2vec-base-chinese-sentence-dataset
language:
- zh
metrics:
- spearmanr
library_name: transformers
---
# shi... | 9,626 | [
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0... |
TheBloke/llama2_70b_chat_uncensored-GPTQ | 2023-09-27T12:45:21.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"uncensored",
"wizard",
"vicuna",
"dataset:ehartford/wizard_vicuna_70k_unfiltered",
"arxiv:2305.14314",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/llama2_70b_chat_uncensored-GPTQ | 51 | 872 | transformers | 2023-08-03T17:42:40 | ---
license: llama2
tags:
- uncensored
- wizard
- vicuna
- llama
datasets:
- ehartford/wizard_vicuna_70k_unfiltered
model_name: Llama2 70B Chat Uncensored
base_model: jarradh/llama2_70b_chat_uncensored
inference: false
model_creator: Jarrad Hope
model_type: llama
prompt_template: '### HUMAN:
{prompt}
### RESPONS... | 20,621 | [
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-0.0324096679687... |
Helsinki-NLP/opus-mt-en-sv | 2023-08-16T11:31:15.000Z | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-en-sv | 2 | 871 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-sv
* source languages: en
* target languages: sv
* OPUS readme: [en-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
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-0.0447998046875,
-0.042449951171875,
0.01609802... |
pysentimiento/bertweet-hate-speech | 2023-02-20T19:00:46.000Z | [
"pysentimiento",
"pytorch",
"roberta",
"twitter",
"hate-speech",
"en",
"arxiv:2106.09462",
"region:us"
] | null | pysentimiento | null | null | pysentimiento/bertweet-hate-speech | 4 | 871 | pysentimiento | 2022-03-02T23:29:05 | ---
language:
- en
library_name: pysentimiento
tags:
- twitter
- hate-speech
---
# Hate Speech detection in English
## bertweet-hate-speech
Repository: [https://github.com/pysentimiento/pysentimiento/](https://github.com/finiteautomata/pysentimiento/)
Model trained with SemEval 2019 Task 5: HatEval (SubTas... | 2,171 | [
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0.0039... |
salti/bert-base-multilingual-cased-finetuned-squad | 2021-05-19T01:26:36.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"question-answering",
"multilingual",
"dataset:squad",
"dataset:arcd",
"dataset:xquad",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | salti | null | null | salti/bert-base-multilingual-cased-finetuned-squad | 13 | 871 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
datasets:
- squad
- arcd
- xquad
---
# Multilingual BERT fine-tuned on SQuADv1.1
[**WandB run link**](https://wandb.ai/salti/mBERT_QA/runs/wkqzhrp2)
**GPU**: Tesla P100-PCIE-16GB
## Training Arguments
```python
max_seq_length = 512
doc_stride = 25... | 1,279 | [
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-0.0039405... |
DAMO-NLP-MT/polylm-13b | 2023-08-10T05:50:39.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"custom_code",
"zh",
"en",
"es",
"fr",
"pt",
"ru",
"de",
"it",
"ar",
"ja",
"ko",
"th",
"vi",
"id",
"nl",
"pl",
"tr",
"he",
"arxiv:2307.06018",
"arxiv:2104.09864",
"license:apache-2.0",
"has_space",
"text-gene... | text-generation | DAMO-NLP-MT | null | null | DAMO-NLP-MT/polylm-13b | 42 | 871 | transformers | 2023-07-13T13:48:44 | ---
language:
- zh
- en
- es
- fr
- pt
- ru
- de
- it
- ar
- ja
- ko
- th
- vi
- id
- nl
- pl
- tr
- he
tags:
- text-generation
license: apache-2.0
---
# Model Card for PolyLM (a polyglot large language model)
## Table of Contents
1. [Model Details](#model-details)
2. [Usage](#usage)
3. [Uses](#uses)
4. [Bias, Ri... | 5,247 | [
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asapp/sew-tiny-100k-ft-ls100h | 2023-06-28T18:56:29.000Z | [
"transformers",
"pytorch",
"safetensors",
"sew",
"automatic-speech-recognition",
"audio",
"speech",
"hf-asr-leaderboard",
"en",
"dataset:librispeech_asr",
"arxiv:2109.06870",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | asapp | null | null | asapp/sew-tiny-100k-ft-ls100h | 0 | 870 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- librispeech_asr
tags:
- audio
- speech
- automatic-speech-recognition
- 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.hug... | 4,552 | [
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-... |
timm/tf_efficientnet_b8.ra_in1k | 2023-04-27T21:28:07.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1909.13719",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b8.ra_in1k | 0 | 870 | timm | 2022-12-13T00:07:32 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b8.ra_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with rand-augment in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Detai... | 4,582 | [
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lmalarky/flan-t5-base-finetuned-python_qa | 2023-10-25T22:58:23.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | lmalarky | null | null | lmalarky/flan-t5-base-finetuned-python_qa | 0 | 870 | transformers | 2023-10-19T17:49:35 | ---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-finetuned-python_qa
results: []
language:
- en
---
# flan-t5-base-finetuned-python_qa_v2
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/googl... | 1,630 | [
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-0.039703369140625,
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... |
timm/coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k | 2023-05-10T23:47:11.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-12k",
"arxiv:2201.03545",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k | 0 | 869 | timm | 2023-01-20T21:27:05 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-12k
---
# Model card for coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k
A timm specific CoAtNet (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classification model... | 22,599 | [
[
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-0.050811767578125,
-0.00658035... |
timm/eva02_large_patch14_224.mim_in22k | 2023-03-31T05:45:24.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2303.11331",
"arxiv:2303.15389",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/eva02_large_patch14_224.mim_in22k | 1 | 869 | timm | 2023-03-31T04:19:05 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
---
# Model card for eva02_large_patch14_224.mim_in22k
An EVA02 feature / representation model. Pretrained on ImageNet-22k with masked image modeling (using EVA-CLIP as a MIM teacher) by paper authors.
EVA-02 models are vision transformers with me... | 5,285 | [
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timm/resnet14t.c3_in1k | 2023-04-05T18:02:49.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2110.00476",
"arxiv:1512.03385",
"arxiv:1812.01187",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnet14t.c3_in1k | 0 | 869 | timm | 2023-04-05T18:02:41 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnet14t.c3_in1k
A ResNet-T image classification model.
This model features:
* ReLU activations
* tiered 3-layer stem of 3x3 convolutions with pooling
* 2x2 average pool + 1x1 convolution shortcut downsample
Traine... | 38,969 | [
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... |
diffusers/tiny-stable-diffusion-torch | 2023-05-16T09:32:13.000Z | [
"diffusers",
"license:apache-2.0",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | diffusers | null | null | diffusers/tiny-stable-diffusion-torch | 2 | 868 | diffusers | 2022-11-24T13:06:28 | ---
license: apache-2.0
duplicated_from: hf-internal-testing/tiny-stable-diffusion-torch
---
```python
from diffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_pretrained("hf-internal-testing/tiny-stable-diffusion-torch")
```
| 254 | [
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0.0049... |
KETI-AIR/ke-t5-large | 2023-09-18T01:24:55.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"t5",
"text2text-generation",
"en",
"ko",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | KETI-AIR | null | null | KETI-AIR/ke-t5-large | 6 | 866 | transformers | 2022-03-02T23:29:04 | ---
license: apache-2.0
language: [en, ko]
tags:
- t5
eos_token: "</s>"
widget:
- text: 아버지가 방에 들어가신다.</s>
---
# ke-t5 base
Pretrained T5 Model on Korean and English. See [Github](https://github.com/AIRC-KETI/ke-t5) and [Paper](https://aclanthology.org/2021.findings-emnlp.33/) [Korean paper](https://koreascience.... | 2,488 | [
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0.01517486... |
patrickvonplaten/bert2bert-cnn_dailymail-fp16 | 2020-12-12T11:22:49.000Z | [
"transformers",
"pytorch",
"encoder-decoder",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | patrickvonplaten | null | null | patrickvonplaten/bert2bert-cnn_dailymail-fp16 | 2 | 866 | transformers | 2022-03-02T23:29:05 | # Bert2Bert Summarization with 🤗 EncoderDecoder Framework
This model is a Bert2Bert model fine-tuned on summarization.
Bert2Bert is a `EncoderDecoderModel`, meaning that both the encoder and the decoder are `bert-base-uncased`
BERT models. Leveraging the [EncoderDecoderFramework](https://huggingface.co/transformers... | 4,583 | [
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digiplay/wantan25D_prototype | 2023-08-03T13:58:29.000Z | [
"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/wantan25D_prototype | 2 | 866 | diffusers | 2023-08-02T16:17:03 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/121113/wantan25dprototype
Sample image generated by huggingface's API :
![28d56c69-a85c-4791-9c32-d32baece09b0.jpeg](https://cdn-uploads.huggingface.co/prod... | 667 | [
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0.0098... |
microsoft/swin-small-patch4-window7-224 | 2022-05-16T18:11:23.000Z | [
"transformers",
"pytorch",
"tf",
"swin",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2103.14030",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | microsoft | null | null | microsoft/swin-small-patch4-window7-224 | 0 | 865 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https... | 3,697 | [
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-0.045654296875,
-0.01084136962890625,
-0.0411987... |
Fred99774/girlnew1 | 2023-04-12T06:39:23.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Fred99774 | null | null | Fred99774/girlnew1 | 0 | 865 | diffusers | 2023-04-12T06:34:19 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### girlnew1 Dreambooth model trained by Fred99774 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 [f... | 499 | [
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-0.0074653625... |
TheBloke/llava-v1.5-13B-GPTQ | 2023-11-06T12:24:09.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/llava-v1.5-13B-GPTQ | 16 | 864 | transformers | 2023-10-15T11:54:33 | ---
base_model: liuhaotian/llava-v1.5-13b
inference: false
license: llama2
model_creator: Haotian Liu
model_name: Llava v1.5 13B
model_type: llama
prompt_template: '{prompt}
'
quantized_by: TheBloke
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="... | 19,568 | [
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timm/convnext_femto_ols.d1_in1k | 2023-03-31T22:04:32.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_femto_ols.d1_in1k | 0 | 863 | timm | 2022-12-13T07:08:24 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_femto_ols.d1_in1k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
- ... | 15,646 | [
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cartesinus/bert-base-uncased-amazon-massive-intent | 2023-09-13T21:14:56.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"nlu",
"en",
"dataset:AmazonScience/massive",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | cartesinus | null | null | cartesinus/bert-base-uncased-amazon-massive-intent | 1 | 862 | transformers | 2022-09-23T19:52:39 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- nlu
- text-classification
datasets:
- AmazonScience/massive
metrics:
- accuracy
- f1
base_model: bert-base-uncased
model-index:
- name: bert-base-uncased-amazon-massive-intent
results:
- task:
type: intent-classification
name: inten... | 2,112 | [
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fabiochiu/dddoge-dog | 2023-08-03T07:55:13.000Z | [
"diffusers",
"pytorch",
"stable-diffusion",
"text-to-image",
"diffusion-models-class",
"dreambooth-hackathon",
"animal",
"dataset:fabiochiu/doge",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | fabiochiu | null | null | fabiochiu/dddoge-dog | 0 | 862 | diffusers | 2022-12-27T20:11:23 | ---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- animal
datasets: fabiochiu/doge
widget:
- text: a photo of dddoge dog in the Acropolis
---
# DreamBooth model for the dddoge concept trained by fabiochiu on the fabiochiu/... | 954 | [
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-0.043548583984375,
-0.043365478515625,
0.037017822265625,
0.0150909423828125,
-0.034088134765625,
-0.00737762451171875,
0.0189971923828125,
-0.013519287109375,
0.0237579345703125,
0.0193634033203125,
-0.034576416015625,
-0.033782958984375,
-0.036865234375,
... |
nvidia/stt_en_fastconformer_transducer_large | 2023-06-08T02:54:17.000Z | [
"nemo",
"automatic-speech-recognition",
"speech",
"audio",
"Transducer",
"FastConformer",
"Transformer",
"pytorch",
"NeMo",
"hf-asr-leaderboard",
"en",
"dataset:librispeech_asr",
"dataset:fisher_corpus",
"dataset:Switchboard-1",
"dataset:WSJ-0",
"dataset:WSJ-1",
"dataset:National-Sin... | automatic-speech-recognition | nvidia | null | null | nvidia/stt_en_fastconformer_transducer_large | 1 | 862 | nemo | 2023-06-08T00:12:03 | ---
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/commo... | 9,415 | [
[
-0.032562255859375,
-0.050445556640625,
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0.024566650390625,
-0.034423828125,
-0.035919189453125,
-0.0584716796875,
... |
owkin/phikon | 2023-10-31T08:37:59.000Z | [
"transformers",
"pytorch",
"safetensors",
"vit",
"feature-extraction",
"biology",
"medical",
"cancer",
"en",
"dataset:owkin/nct-crc-he",
"dataset:owkin/camelyon16-features",
"license:other",
"endpoints_compatible",
"region:us"
] | feature-extraction | owkin | null | null | owkin/phikon | 4 | 862 | transformers | 2023-09-21T13:17:37 | ---
license: other
language:
- en
tags:
- biology
- medical
- cancer
datasets:
- owkin/nct-crc-he
- owkin/camelyon16-features
pipeline_tag: feature-extraction
---
# Model Card for Phikon
---
Phikon is a self-supervised learning model for histopathology trained with iBOT.
To learn more about how to use the model, w... | 2,368 | [
[
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0.04046630859375,
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-0.040863037109375,
-0.041717529296875,
0.0095443725... |
TheBloke/Emerhyst-20B-AWQ | 2023-09-28T10:14:53.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"license:cc-by-nc-4.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Emerhyst-20B-AWQ | 3 | 862 | transformers | 2023-09-28T09:48:22 | ---
base_model: Undi95/Emerhyst-20B
inference: false
license: cc-by-nc-4.0
model_creator: Undi
model_name: Emerhyst 20B
model_type: llama
prompt_template: 'Below is an instruction that describes a task. Write a response
that appropriately completes the request.
### Instruction:
{prompt}
### Response:
'
... | 13,800 | [
[
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0.0069122314453125,
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0.0265960693359375,
-0.05078125,
-0.0390625,
-0.019622802734375,
-0.002630233... |
microsoft/swin-base-patch4-window12-384 | 2022-05-16T18:32:57.000Z | [
"transformers",
"pytorch",
"tf",
"swin",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2103.14030",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | microsoft | null | null | microsoft/swin-base-patch4-window12-384 | 3 | 861 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https... | 3,696 | [
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... |
allenai/PRIMERA-multixscience | 2023-01-24T17:02:58.000Z | [
"transformers",
"pytorch",
"led",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | allenai | null | null | allenai/PRIMERA-multixscience | 3 | 861 | transformers | 2022-03-11T00:27:19 | ---
language: en
license: apache-2.0
---
HF-version model for PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization (ACL 2022).
The original code can be found [here](https://github.com/allenai/PRIMER). You can find the script and notebook to train/evaluate the model in ... | 1,238 | [
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0.020538330... |
timm/mvitv2_huge_cls.fb_inw21k | 2023-04-13T00:42:17.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2112.01526",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mvitv2_huge_cls.fb_inw21k | 0 | 861 | timm | 2023-04-13T00:32:49 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for mvitv2_huge_cls.fb_inw21k
A MViT-v2 (multi-scale ViT) image classification model. Pretrained on ImageNet-22k (Winter21 variant) and fine-tuned on ImageNet-1k by paper authors. The c... | 2,551 | [
[
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0.0289306640625,
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... |
alaa-lab/InstructCV | 2023-07-02T09:43:06.000Z | [
"diffusers",
"image-to-image",
"dataset:yulu2/InstructCV-Demo-Data",
"license:mit",
"has_space",
"diffusers:StableDiffusionInstructPix2PixPipeline",
"region:us"
] | image-to-image | alaa-lab | null | null | alaa-lab/InstructCV | 3 | 861 | diffusers | 2023-07-02T08:00:16 | ---
license: mit
tags:
- image-to-image
datasets:
- yulu2/InstructCV-Demo-Data
---
# INSTRUCTCV: YOUR TEXT-TO-IMAGE MODEL IS SECRETLY A VISION GENERALIST
GitHub: https://github.com
[](https://imgse.com/i/pCVB5B8)
## Example
To use `InstructCV`, install `di... | 1,704 | [
[
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-0.033416748046875,
-0.0506591796875,
-0.00... |
castorini/tct_colbert-msmarco | 2021-04-21T01:29:30.000Z | [
"transformers",
"pytorch",
"arxiv:2010.11386",
"endpoints_compatible",
"has_space",
"region:us"
] | null | castorini | null | null | castorini/tct_colbert-msmarco | 0 | 860 | transformers | 2022-03-02T23:29:05 | This model is to reproduce the TCT-ColBERT dense retrieval described in the following paper:
> Sheng-Chieh Lin, Jheng-Hong Yang, and Jimmy Lin. [Distilling Dense Representations for Ranking using Tightly-Coupled Teachers.](https://arxiv.org/abs/2010.11386) arXiv:2010.11386, October 2020.
For more details on how to u... | 446 | [
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... |
microsoft/git-large-r-coco | 2023-02-08T10:50:12.000Z | [
"transformers",
"pytorch",
"git",
"text-generation",
"vision",
"image-captioning",
"image-to-text",
"en",
"arxiv:2205.14100",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | microsoft | null | null | microsoft/git-large-r-coco | 3 | 860 | transformers | 2023-01-22T19:04:40 | ---
language: en
license: mit
tags:
- vision
- image-captioning
model_name: microsoft/git-large-coco
pipeline_tag: image-to-text
---
# GIT (GenerativeImage2Text), large-sized, fine-tuned on COCO, R*
R = re-trained by removing some offensive captions in cc12m dataset
GIT (short for GenerativeImage2Text) model, large-... | 3,272 | [
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-0.049530029296875,
-0.0305328369140625,
-0.0684814453125,
0.0037822... |
digiplay/TWingshadow_v1.2 | 2023-07-23T17:07:32.000Z | [
"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/TWingshadow_v1.2 | 3 | 860 | diffusers | 2023-07-23T16:31:23 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Models info :
https://civitai.com/models/105935
Original Author's DEMO images :
![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d56bcaff-6e51-4af9-b871-3e9c709be643/width=1024/02445-471512356... | 1,001 | [
[
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0.0099334716796875,
-0.0161895751953125,
0.0318603515625,
0.03912353515625,
-0.056915283203125,
-0.037628173828125,
-0.018646240234375,
0... |
artificialguybr/StudioGhibliRedmond | 2023-08-30T15:16:11.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/StudioGhibliRedmond | 2 | 860 | diffusers | 2023-08-30T15:10:41 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: StdGBRedmAF
widget:
- text: StdGBRedmAF
---
# StudioGhibli.Redmond
StudioGhibli.Redmond is here!
Introducing StudioGhibli... | 1,488 | [
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timm/convnext_nano.in12k | 2023-03-31T22:32:17.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-12k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_nano.in12k | 1 | 859 | timm | 2022-12-13T07:12:10 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-12k
---
# Model card for convnext_nano.in12k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-12k (a 11821 class subset of full ImageNet-22k) by Ross Wightman.
ImageNet-12k training done on TPUs than... | 15,759 | [
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0.0164337158203125,
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-0.041473388671875,
-0.05078125,
-0.00157... |
kohbanye/pixel-art-style | 2023-01-27T11:30:59.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"stable-diffusion-diffusers",
"en",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | kohbanye | null | null | kohbanye/pixel-art-style | 51 | 858 | diffusers | 2022-12-18T07:27:52 | ---
language:
- en
thumbnail: "https://huggingface.co/kohbanye/pixel-art-style/resolve/main/sample.png"
tags:
- stable-diffusion
- text-to-image
- stable-diffusion-diffusers
---
# Pixel Art Style
This is a fine-tuned model of Stable Diffusion. <br>
Add token **pixelartstyle** to your prompt.
![pixelart](./sample.... | 370 | [
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-0.03399658203125,
-0.0244598388671875,
-0.046417236328125,
-0.0... |
typeform/distilroberta-base-v2 | 2021-05-20T22:46:35.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"fill-mask",
"en",
"dataset:openwebtext",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | typeform | null | null | typeform/distilroberta-base-v2 | 0 | 857 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
datasets:
- openwebtext
---
# DistilRoBERTa base model
Forked from https://huggingface.co/distilroberta-base
| 149 | [
[
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0.042083740234375,
0.039398193359375,
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-0.0175018310546875,
-0.050567626953125,
-0... |
sociocom/MedNER-CR-JA | 2023-11-03T14:43:20.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"token-classification",
"NER",
"medical documents",
"ja",
"dataset:MedTxt-CR-JA-training-v2.xml",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | sociocom | null | null | sociocom/MedNER-CR-JA | 11 | 857 | transformers | 2022-08-23T03:30:43 | ---
language:
- ja
license:
- cc-by-4.0
tags:
- NER
- medical documents
datasets:
- MedTxt-CR-JA-training-v2.xml
metrics:
- NTCIR-16 Real-MedNLP subtask 1
---
This is a model for named entity recognition of Japanese medical documents.
### How to use
Download the following five files and put into the same folder.
-... | 1,154 | [
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-0.04998779296875,
-0.03955078125,
0.05245... |
digiplay/bluePencilRealistic_v05 | 2023-08-02T08:12:37.000Z | [
"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/bluePencilRealistic_v05 | 5 | 857 | diffusers | 2023-06-19T00:09:45 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info: 💖☺️Lovely Cute Model💞
https://huggingface.co/bluepen5805/blue_pencil_realistic
https://civitai.com/models/88941?modelVersionId=97200
Original Author's DEMO images:
![](https://imag... | 768 | [
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-0.047149658203125,
-0.019866943359375,
-0.010... |
BAAI/AquilaChat2-7B | 2023-10-27T08:57:30.000Z | [
"transformers",
"pytorch",
"aquila",
"text-generation",
"custom_code",
"license:other",
"region:us"
] | text-generation | BAAI | null | null | BAAI/AquilaChat2-7B | 12 | 857 | transformers | 2023-10-10T02:02:49 | ---
license: other
---
<h4 align="center">
<p>
<b>English</b> |
<a href="https://huggingface.co/BAAI/AquilaChat2-7B/blob/main/README_zh.md">简体中文</a>
</p>
</h4>
We opensource our **Aquila2** series, now including **Aquila2**, the base language models, namely **Aq... | 2,093 | [
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0.0309295654296875,
-0.0419921875,
-0.02423095703125,
-0.033355712890625,
... |
luhua/chinese_pretrain_mrc_roberta_wwm_ext_large | 2021-06-12T02:53:16.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"zh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | luhua | null | null | luhua/chinese_pretrain_mrc_roberta_wwm_ext_large | 69 | 855 | transformers | 2022-03-02T23:29:05 | ---
language:
- zh
license: "apache-2.0"
---
## Chinese MRC roberta_wwm_ext_large
* 使用大量中文MRC数据训练的roberta_wwm_ext_large模型，详情可查看：https://github.com/basketballandlearn/MRC_Competition_Dureader
* 此库发布的再训练模型，在 阅读理解/分类 等任务上均有大幅提高<br/>
（已有多位小伙伴在Dureader-2021等多个比赛中取得**top5**的成绩😁）
| 模型/数据集 |... | 910 | [
[
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Habana/albert-large-v2 | 2023-08-18T16:50:50.000Z | [
"optimum_habana",
"license:apache-2.0",
"region:us"
] | null | Habana | null | null | Habana/albert-large-v2 | 0 | 855 | null | 2022-04-22T18:05:07 | ---
license: apache-2.0
---
[Optimum Habana](https://github.com/huggingface/optimum-habana) is the interface between the Hugging Face Transformers and Diffusers libraries and Habana's Gaudi processor (HPU).
It provides a set of tools enabling easy and fast model loading, training and inference on single- and multi-HPU... | 2,048 | [
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timm/efficientvit_m2.r224_in1k | 2023-08-18T23:21:37.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2305.07027",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/efficientvit_m2.r224_in1k | 0 | 855 | timm | 2023-08-18T23:21:32 | ---
tags:
- image-classification
- timm
library_name: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for efficientvit_m2.r224_in1k
An EfficientViT (MSRA) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mode... | 3,764 | [
[
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0.0103759765625,
0.0232391357421875,
-0.034881591796875,
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... |
friedrichor/stable-diffusion-2-1-realistic | 2023-06-06T08:09:18.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"en",
"dataset:friedrichor/PhotoChat_120_square_HQ",
"arxiv:2112.10752",
"arxiv:2301.12597",
"license:openrail++",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | friedrichor | null | null | friedrichor/stable-diffusion-2-1-realistic | 1 | 854 | diffusers | 2023-06-03T16:24:15 | ---
license: openrail++
datasets:
- friedrichor/PhotoChat_120_square_HQ
language:
- en
tags:
- stable-diffusion
- text-to-image
---
This `friedrichor/stable-diffusion-2-1-realistic` model fine-tuned from [stable-diffusion-2-1](https://huggingface.co/stabilityai/stable-diffusion-2-1) with [friedrichor/PhotoChat_120_squ... | 4,812 | [
[
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0.00247955322265625,
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0.0200347900390625,
0.027130126953125,
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-0.03131103515625,
-0.033172607421875,
0.0185... |
AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru | 2022-07-19T15:33:20.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"question-answering",
"en",
"ru",
"multilingual",
"arxiv:1912.09723",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | AlexKay | null | null | AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru | 32 | 853 | transformers | 2022-03-02T23:29:04 | ---
language:
- en
- ru
- multilingual
license: apache-2.0
---
# XLM-RoBERTa large model whole word masking finetuned on SQuAD
Pretrained model using a masked language modeling (MLM) objective.
Fine tuned on English and Russian QA datasets
## Used QA Datasets
SQuAD + SberQuAD
[SberQuAD original paper](https:/... | 486 | [
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... |
timm/convnext_tiny_hnf.a2h_in1k | 2023-03-31T22:39:56.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_tiny_hnf.a2h_in1k | 0 | 853 | timm | 2022-12-13T07:15:35 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_tiny_hnf.a2h_in1k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
- ... | 15,649 | [
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TheBloke/Chinese-Alpaca-2-7B-GGUF | 2023-09-27T12:49:15.000Z | [
"transformers",
"llama",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/Chinese-Alpaca-2-7B-GGUF | 2 | 853 | transformers | 2023-09-14T17:31:10 | ---
license: apache-2.0
model_name: Chinese Alpaca 2 7B
base_model: ziqingyang/chinese-alpaca-2-7b
inference: false
model_creator: Ziqing Yang
model_type: llama
prompt_template: 'Below is an instruction that describes a task. Write a response
that appropriately completes the request.
### Instruction:
{prompt}
... | 20,511 | [
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0.0027027130126953125... |
Helsinki-NLP/opus-mt-es-fr | 2023-08-16T11:32:42.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"es",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-es-fr | 1 | 851 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-fr
* source languages: es
* target languages: fr
* OPUS readme: [es-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 1,102 | [
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0.008209228515625,
0.033538818359375,
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-0.04339599609375,
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... |
mrm8488/spanbert-finetuned-squadv2 | 2023-03-17T00:55:17.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"question-answering",
"en",
"arxiv:1907.10529",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | mrm8488 | null | null | mrm8488/spanbert-finetuned-squadv2 | 4 | 851 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail:
---
# SpanBERT (spanbert-base-cased) fine-tuned on SQuAD v2
[SpanBERT](https://github.com/facebookresearch/SpanBERT) created by [Facebook Research](https://github.com/facebookresearch) and fine-tuned on [SQuAD 2.0](https://rajpurkar.github.io/SQuAD-explorer/) for **Q&A** downstream task.
... | 2,937 | [
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0.009300231... |
alx-ai/noggles-fastdb-4800 | 2023-05-16T09:28:58.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | alx-ai | null | null | alx-ai/noggles-fastdb-4800 | 0 | 851 | diffusers | 2022-11-17T00:20:37 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### noggles_fastdb_4800 on Stable Diffusion via Dreambooth trained on the [fast-DreamBooth.ipynb by TheLastBen](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
#### Model by alxdfy
This your ... | 1,398 | [
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... |
jonaylor89/sd-johannes | 2023-07-22T12:53:24.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | jonaylor89 | null | null | jonaylor89/sd-johannes | 0 | 850 | diffusers | 2023-07-22T12:37:11 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### SD-Johannes Dreambooth model trained by jonaylor89 with [buildspace's DreamBooth](https://colab.research.google.com/github/buildspace/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb) notebook
Build your own us... | 522 | [
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-0.035552978515625,
-0.0280... |
ismaelfaro/gpt2-poems.en | 2021-11-16T07:54:17.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"GPT",
"en",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | ismaelfaro | null | null | ismaelfaro/gpt2-poems.en | 5 | 849 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- GPT
license: mit
---
# GTP2-Poems Generator, English
This model is part of the Poems+AI experiment
more info https://poems-ai.github.io/art/
# Original Dataset
- https://www.kaggle.com/michaelarman/poemsdataset
- Marcos de la Fuente's poems
| 285 | [
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ml6team/distilbert-base-dutch-cased-toxic-comments | 2022-01-20T08:21:12.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"nl",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | ml6team | null | null | ml6team/distilbert-base-dutch-cased-toxic-comments | 5 | 849 | transformers | 2022-03-02T23:29:05 | ---
language:
- nl
tags:
- text-classification
- pytorch
widget:
- text: "Ik heb je lief met heel mijn hart"
example_title: "Non toxic comment 1"
- text: "Dat is een goed punt, zo had ik het nog niet bekeken."
example_title: "Non toxic comment 2"
- text: "Wat de fuck zei je net tegen me, klootzak?"
example_title... | 1,915 | [
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-0.00274658203125,
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0.02459716796875,
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-0.054107666015625,
-0.055328369140625,
0.01853... |
snowood1/ConfliBERT-scr-uncased | 2022-05-11T16:53:17.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"license:gpl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | snowood1 | null | null | snowood1/ConfliBERT-scr-uncased | 2 | 849 | transformers | 2022-04-29T21:00:32 | ---
license: gpl-3.0
---
ConfliBERT is a pre-trained language model for political conflict and violence.
We provided four versions of ConfliBERT:
<ol>
<li>ConfliBERT-scr-uncased: Pretraining from scratch with our own uncased vocabulary (preferred)</li>
<li>ConfliBERT-scr-cased:  ... | 703 | [
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0.00... |
retrieva-jp/t5-base-long | 2023-05-10T01:00:00.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"ja",
"arxiv:2002.05202",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | retrieva-jp | null | null | retrieva-jp/t5-base-long | 2 | 849 | transformers | 2023-04-26T08:30:59 | ---
license: cc-by-sa-4.0
language:
- ja
---
# Model card for model ID
This is a T5 v1.1 model, pre-trained on a Japanese corpus.
## Model details
T5 is a Transformer-based Encoder-Decoder model, now in v1.1, with the following improvements over the original T5.
- GEGLU activation in feed-forward hidden layer, rath... | 2,595 | [
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sgugger/finetuned-bert-mrpc | 2022-09-02T15:16:33.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | sgugger | null | null | sgugger/finetuned-bert-mrpc | 0 | 848 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model_index:
- name: finetuned-bert-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: mrpc
metric:
name: F1
... | 1,749 | [
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mattmdjaga/segformer_b0_clothes | 2023-07-20T11:58:04.000Z | [
"transformers",
"pytorch",
"safetensors",
"segformer",
"vision",
"image-segmentation",
"dataset:mattmdjaga/human_parsing_dataset",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-segmentation | mattmdjaga | null | null | mattmdjaga/segformer_b0_clothes | 6 | 848 | transformers | 2023-04-20T13:37:29 | ---
license: mit
tags:
- vision
- image-segmentation
widget:
- src: https://images.unsplash.com/photo-1643310325061-2beef64926a5?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxzZWFyY2h8Nnx8cmFjb29uc3xlbnwwfHwwfHw%3D&w=1000&q=80
example_title: Person
- src: https://freerangestock.com/sample/139043/young-man-standing-and-leaning-o... | 1,559 | [
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0.03753662109375,
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-0.03448486328125,
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0.00371... |
stets/nintendo64_cartridge | 2023-10-18T22:40:50.000Z | [
"diffusers",
"stable-diffusion",
"lora",
"text-to-image",
"license:other",
"region:us",
"has_space"
] | text-to-image | stets | null | null | stets/nintendo64_cartridge | 7 | 848 | diffusers | 2023-10-18T04:51:16 | ---
license: other
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: n64
widget:
- text: n64
---
Trigger with `n64`. Made for SDXL1.0
Creates Nintendo 64 Game Cartridges with cursed text.
It ... | 1,543 | [
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0.049835205078125,
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-0.05389404296875,
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0.012443... |
jjzha/jobbert-base-cased | 2023-03-18T09:30:27.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"fill-mask",
"JobBERT",
"job postings",
"en",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | jjzha | null | null | jjzha/jobbert-base-cased | 11 | 846 | transformers | 2022-04-12T11:39:22 | ---
language:
- en
tags:
- JobBERT
- job postings
---
# JobBERT
This is the JobBERT model from:
Mike Zhang, Kristian Nørgaard Jensen, Sif Dam Sonniks, and Barbara Plank. __SkillSpan: Hard and Soft Skill Extraction from Job Postings__. Proceedings of the 2022 Conference of the North American Chapter of the Asso... | 2,315 | [
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-0.048675537109375,
... |
prithivida/passive_to_active_styletransfer | 2021-06-23T13:45:25.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | prithivida | null | null | prithivida/passive_to_active_styletransfer | 5 | 845 | transformers | 2022-03-02T23:29:05 | ## This model belongs to the Styleformer project
[Please refer to github page](https://github.com/PrithivirajDamodaran/Styleformer)
| 134 | [
[
0.01119232177734375,
-0.0225830078125,
0.01119232177734375,
0.0287628173828125,
-0.01194000244140625,
0.01467132568359375,
0.031036376953125,
0.0174407958984375,
0.0252685546875,
0.05841064453125,
-0.05780029296875,
-0.0211944580078125,
-0.0167236328125,
-0.... |
digiplay/BeenReal_diffusers | 2023-10-10T10:11:22.000Z | [
"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/BeenReal_diffusers | 1 | 845 | diffusers | 2023-06-25T22:47:35 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info:
https://pixai.art/model/1621642635946443255
https://aitool.ai/model/76296
| 212 | [
[
-0.034759521484375,
-0.01506805419921875,
0.0318603515625,
0.01446533203125,
-0.0309295654296875,
-0.0020771026611328125,
0.044403076171875,
-0.023590087890625,
0.023651123046875,
0.04608154296875,
-0.050079345703125,
-0.007904052734375,
-0.035400390625,
-0.... |
Linaqruf/hitokomoru-diffusion | 2023-05-16T09:30:44.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Linaqruf | null | null | Linaqruf/hitokomoru-diffusion | 79 | 844 | diffusers | 2022-11-21T17:12:05 | ---
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/Linaqruf/hitokomoru/resolve/main/thumbnail.png"
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
# Hitokomoru Diffusion
**Welcome to Hitokomoru Diffusion** - a latent diffusion model that has bee... | 6,351 | [
[
-0.047027587890625,
-0.062042236328125,
0.033172607421875,
0.024688720703125,
-0.0185089111328125,
-0.0188446044921875,
0.013153076171875,
-0.02923583984375,
0.031524658203125,
0.028839111328125,
-0.056610107421875,
-0.046173095703125,
-0.05206298828125,
-0.... |
timm/convnextv2_huge.fcmae_ft_in22k_in1k_384 | 2023-03-31T23:25:25.000Z | [
"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_huge.fcmae_ft_in22k_in1k_384 | 0 | 844 | timm | 2023-01-05T01:45:48 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_huge.fcmae_ft_in22k_in1k_384
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on Image... | 15,835 | [
[
-0.06817626953125,
-0.03076171875,
-0.0051727294921875,
0.037322998046875,
-0.03143310546875,
-0.01514434814453125,
-0.01253509521484375,
-0.035675048828125,
0.06390380859375,
0.018157958984375,
-0.04412841796875,
-0.03955078125,
-0.053253173828125,
-0.00413... |
Norm/ERNIE-Layout-Pytorch | 2023-08-28T07:50:28.000Z | [
"transformers",
"pytorch",
"xlnet",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | Norm | null | null | Norm/ERNIE-Layout-Pytorch | 9 | 843 | transformers | 2022-12-12T02:21:36 | ---
license: mit
---
# ERNIE-Layout_Pytorch
[This repository](https://github.com/NormXU/ERNIE-Layout-Pytorch) contains an unofficial ERNIE-Layout implementations in Pytorch, originally released via [PaddleNLP](https://github.com/PaddlePaddle/PaddleNLP). The model weight is converted from [PaddlePaddle/ernie-layoutx-b... | 2,484 | [
[
-0.0238037109375,
-0.019775390625,
0.008514404296875,
0.00446319580078125,
-0.0196990966796875,
-0.033966064453125,
-0.00485992431640625,
-0.015655517578125,
0.01152801513671875,
0.0355224609375,
-0.034515380859375,
-0.040863037109375,
-0.0306854248046875,
-... |
natsusakiyomi/Riga_Collection | 2023-03-24T16:13:45.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"ja",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | natsusakiyomi | null | null | natsusakiyomi/Riga_Collection | 22 | 843 | diffusers | 2023-03-18T17:40:43 | ---
license: creativeml-openrail-m
language:
- ja
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
library_name: diffusers
---
# Riga_collectionとは？<br>
Riga_collectionは様々なモデルをマージしたモデルです<br>
HimawariMixと同じで背景や細部の表現が強いモデルです<br>
イメージ的にはHimawariMixをりがさんのアイディアを元にチューニングしたような... | 1,574 | [
[
-0.0312347412109375,
-0.043701171875,
0.0257110595703125,
0.031402587890625,
-0.0660400390625,
-0.019927978515625,
0.01137542724609375,
-0.044189453125,
0.002674102783203125,
0.055450439453125,
-0.054229736328125,
-0.044189453125,
-0.04180908203125,
0.009643... |
dandelin/vilt-b32-finetuned-nlvr2 | 2022-01-23T09:43:30.000Z | [
"transformers",
"pytorch",
"vilt",
"arxiv:2102.03334",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | dandelin | null | null | dandelin/vilt-b32-finetuned-nlvr2 | 2 | 842 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
---
# Vision-and-Language Transformer (ViLT), fine-tuned on NLVR2
Vision-and-Language Transformer (ViLT) model fine-tuned on [NLVR2](https://lil.nlp.cornell.edu/nlvr/). It was introduced in the paper [ViLT: Vision-and-Language Transformer
Without Convolution or Region Supervision](https://arxi... | 2,099 | [
[
-0.034454345703125,
-0.060699462890625,
0.005458831787109375,
0.01288604736328125,
-0.027557373046875,
-0.0201873779296875,
-0.02490234375,
-0.032623291015625,
-0.0016717910766601562,
0.0284423828125,
-0.03741455078125,
-0.024322509765625,
-0.049407958984375,
... |
EarthnDusk/malware-dreamv1 | 2023-05-31T09:22:20.000Z | [
"diffusers",
"stable diffusion",
"anime",
"text-to-image",
"en",
"dataset:fka/awesome-chatgpt-prompts",
"dataset:Nerfgun3/bad_prompt",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | EarthnDusk | null | null | EarthnDusk/malware-dreamv1 | 1 | 842 | diffusers | 2023-05-31T06:58:32 | ---
license: creativeml-openrail-m
datasets:
- fka/awesome-chatgpt-prompts
- Nerfgun3/bad_prompt
language:
- en
metrics:
- accuracy
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable diffusion
- anime
---
Attempting to make a CONTRAST/POP ART ANIME MODEL - This was fine tuned off a merge that had lora ... | 1,033 | [
[
-0.03485107421875,
-0.048858642578125,
0.028106689453125,
0.029510498046875,
-0.03338623046875,
0.007244110107421875,
0.0253753662109375,
-0.06097412109375,
0.06341552734375,
0.03814697265625,
-0.06817626953125,
-0.0293121337890625,
-0.0245208740234375,
-0.0... |
chillpixel/blacklight-makeup-sdxl-lora | 2023-09-02T13:15:34.000Z | [
"diffusers",
"art",
"style",
"sdxl",
"lora",
"stable diffusion",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"blacklight",
"makeup",
"neon",
"region:us",
"has_space"
] | text-to-image | chillpixel | null | null | chillpixel/blacklight-makeup-sdxl-lora | 3 | 841 | diffusers | 2023-08-26T22:37:20 | ---
library_name: diffusers
pipeline_tag: text-to-image
base_model: stabilityai/stable-diffusion-xl-base-1.0
tags:
- art
- style
- sdxl
- lora
- stable diffusion
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- blacklight
- makeup
- neon
inference: true
---
# Blacklight Makeup — SDXL LoRA
... | 3,385 | [
[
-0.0130462646484375,
-0.043060302734375,
0.0306549072265625,
0.0302581787109375,
-0.022705078125,
0.00582122802734375,
0.011077880859375,
-0.05584716796875,
0.0538330078125,
0.05841064453125,
-0.038482666015625,
-0.05218505859375,
-0.0296478271484375,
-0.009... |
pysentimiento/robertuito-pos | 2023-03-31T13:54:19.000Z | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"token-classification",
"twitter",
"pos-tagging",
"es",
"arxiv:2106.09462",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | pysentimiento | null | null | pysentimiento/robertuito-pos | 0 | 840 | transformers | 2022-07-17T21:22:11 | ---
language:
- es
tags:
- twitter
- pos-tagging
---
# POS Tagging model for Spanish/English
## robertuito-pos
Repository: [https://github.com/pysentimiento/pysentimiento/](https://github.com/finiteautomata/pysentimiento/)
Model trained with the Spanish/English split of the [LinCE NER corpus](https://ritual... | 3,285 | [
[
-0.020538330078125,
-0.033233642578125,
0.0217437744140625,
0.041290283203125,
-0.017578125,
-0.007198333740234375,
-0.02630615234375,
-0.0281829833984375,
0.042999267578125,
0.00878143310546875,
-0.0209808349609375,
-0.06536865234375,
-0.0423583984375,
0.02... |
valhalla/t5-base-qg-hl | 2021-06-23T14:40:47.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"question-generation",
"dataset:squad",
"arxiv:1910.10683",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | valhalla | null | null | valhalla/t5-base-qg-hl | 6 | 839 | transformers | 2022-03-02T23:29:05 | ---
datasets:
- squad
tags:
- question-generation
widget:
- text: "<hl> 42 <hl> is the answer to life, the universe and everything. </s>"
- text: "Python is a programming language. It is developed by <hl> Guido Van Rossum <hl>. </s>"
- text: "Although <hl> practicality <hl> beats purity </s>"
license: mit
---
## T5 fo... | 1,402 | [
[
-0.032196044921875,
-0.0758056640625,
0.027557373046875,
0.0099334716796875,
-0.00946807861328125,
0.00246429443359375,
0.031829833984375,
-0.00841522216796875,
0.00745391845703125,
0.041290283203125,
-0.06982421875,
-0.02374267578125,
-0.007656097412109375,
... |
wxjiao/alpaca-7b | 2023-04-06T12:21:02.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | wxjiao | null | null | wxjiao/alpaca-7b | 5 | 839 | transformers | 2023-03-22T05:15:33 | ---
{}
---
This repo contains an in-house tuned LLaMA-7b based on the [Stanford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) dataset, for only research use.
Quantitative evaluation on machine translation and qualitative comparison on general abilities can be found at [alpaca-mt](https://github.com/wxjiao/alp... | 2,140 | [
[
-0.049896240234375,
-0.027435302734375,
0.0179595947265625,
0.0251312255859375,
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0.0165557861328125,
-0.0018358230590820312,
-0.032562255859375,
0.03759765625,
0.0224151611328125,
-0.0609130859375,
-0.04168701171875,
-0.053863525390625,
0.... |
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