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Richard0113/distilbert-base-uncased-finetuned-cola | Richard0113 | distilbert | 24 | 2 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | ['glue'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,571 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | 22473d96a6b3119cb7082ebf68fcef88 |
DOOGLAK/Article_100v9_NER_Model_3Epochs_AUGMENTED | DOOGLAK | bert | 13 | 5 | transformers | 0 | token-classification | true | false | false | apache-2.0 | null | ['article100v9_wikigold_split'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,559 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Article_100v9_NER_Model_3Epochs_AUGMENTED
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-ba... | 478d523c37021d33d9c0d3ad80d9e1af |
caffsean/bert-base-cased-deep-ritmo-sampa | caffsean | bert | 11 | 6 | transformers | 0 | fill-mask | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,255 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-cased-deep-ritmo-sampa
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased)... | 6361d26ed33844c366ba8cfee0bb32f9 |
facebook/mask2former-swin-large-cityscapes-semantic | facebook | mask2former | 5 | 153 | transformers | 0 | image-segmentation | true | false | false | other | null | ['coco'] | null | 1 | 0 | 1 | 0 | 1 | 0 | 1 | ['vision', 'image-segmentation'] | false | true | true | 2,931 | false |
# Mask2Former
Mask2Former model trained on Cityscapes semantic segmentation (large-sized version, Swin backbone). It was introduced in the paper [Masked-attention Mask Transformer for Universal Image Segmentation
](https://arxiv.org/abs/2112.01527) and first released in [this repository](https://github.com/facebookre... | d7e81a703415c161af740493ce7e12d8 |
yam1ke/distilbert-base-uncased-finetuned-ner | yam1ke | distilbert | 10 | 22 | transformers | 0 | token-classification | true | false | false | apache-2.0 | null | ['conll2003'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,549 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | 56d2b58d7e41e0a908072f2b7180b68e |
rajat99/Fine_Tuning_XLSR_300M_testing_model | rajat99 | wav2vec2 | 9 | 5 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,347 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Fine_Tuning_XLSR_300M_testing_model
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/... | 3ee93b8bb85d51bba1ed800c4fdc573a |
Wizounovziki/t5-small-devices-sum-ver3 | Wizounovziki | t5 | 11 | 4 | transformers | 0 | text2text-generation | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 2,350 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-small-devices-sum-ver3
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown datase... | b46294928425f3e120964e95d3d1d26d |
cartesinus/multilingual_minilm-amazon_massive-intent_eu6_noen | cartesinus | bert | 12 | 36 | transformers | 0 | text-classification | true | false | false | mit | ['de', 'fr', 'it', 'pt', 'es', 'pl'] | ['AmazonScience/massive'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer', 'nlu', 'text-classification', 'intent-classification'] | true | true | true | 2,022 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# multilingual_minilm-amazon_massive-intent_eu_noen
This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384]... | 040e4028975297f8c00ba9c03272a79c |
Jaiti/distilbert-base-uncased-finetuned-ner | Jaiti | distilbert | 12 | 19 | transformers | 0 | token-classification | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 927 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | e24f7e4a705581d5c80a0448a518a8cb |
eicu/avatar-jsjessy-low-facetuned-650 | eicu | null | 33 | 18 | diffusers | 0 | text-to-image | false | false | false | creativeml-openrail-m | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['text-to-image'] | false | true | true | 1,995 | false | ### avatar-jsjessy-low-facetuned-650 Dreambooth model trained by eicu with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/... | 052ff355c1bceeba32fddbc7a15bf973 |
asalics/distilbert-base-uncased-finetuned-emotion | asalics | distilbert | 12 | 3 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | ['emotion'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,344 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | a23a588d84a015e8c53ff8e6a39dc013 |
sd-concepts-library/isabell-schulte-pviii-4tiles-6000steps | sd-concepts-library | null | 9 | 0 | null | 0 | null | false | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 1,309 | false | ### Isabell Schulte - PVIII - 4tiles - 6000steps on Stable Diffusion
This is the `<isabell-schulte-p8-style-4tiles-6000s>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffuse... | b913c9630d6c55a621dce163b11e7c3d |
gagan3012/k2t-new | gagan3012 | t5 | 9 | 88 | transformers | 0 | text2text-generation | true | false | true | mit | ['en'] | ['common_gen'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['keytotext', 'k2t', 'Keywords to Sentences'] | false | true | true | 2,195 | false |
# keytotext
Idea is to build a model which will take keywords as inputs and generate sentences as outputs.
### Keytotext is powered by Huggingface 🤗
[ on th... | 1b7c43519b30566b6153333a05ecd9fa |
orkg/orkgnlp-bioassays-semantification | orkg | null | 5 | 0 | null | 0 | null | false | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 431 | false |
This Repository includes the files required to run the `BioAssays Semantification` ORKG-NLP service.
Please check [this article](https://orkg-nlp-pypi.readthedocs.io/en/latest/services/services.html) for more details about the service.
The [Scikit-Learn](https://scikit-learn.org/stable/) models are converted using [... | a5357898dc76891563a69c0b3ab9ff9a |
Omerdor/wet | Omerdor | null | 13 | 2 | diffusers | 0 | null | false | false | false | apache-2.0 | ['en'] | ['imagefolder'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 1,168 | false |
<!-- This model card has been generated automatically according to the information the training script had access to. You
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# wet
## Model description
This diffusion model is trained with the [🤗 Diffusers](https://github.com/huggingface/diffuse... | 0d55ed075a795719b18f372c66c7447a |
aipicasso/cool-japan-diffusion-2-1-0-beta | aipicasso | null | 18 | 988 | diffusers | 17 | text-to-image | false | false | false | other | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['stable-diffusion', 'text-to-image'] | false | true | true | 6,427 | false |
# Cool Japan Diffusion 2.1.0 Beta Model Card
[注意事项。从2023年1月10日起，中国将对图像生成的人工智能实施法律限制。 ](http://www.cac.gov.cn/2022-12/11/c_1672221949318230.htm) （中国国内にいる人への警告）
English version is [here](README_en.md).
# はじめに
学習用Cool Japan DiffusionはStable Diffsionをファインチューニングして、アニメやマンガ、ゲームなどのクールジャパンを表現することに特化... | 91468e31578e85464518be2462953747 |
Hazam/distilbert-base-uncased-finetuned-imdb | Hazam | distilbert | 9 | 2 | transformers | 0 | fill-mask | true | false | false | apache-2.0 | null | ['imdb'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,318 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | 771b8561a3d9f3e73585c8afeb56bcce |
Psunrise/finetuning-customer-sentiment-model-300-samples | Psunrise | roberta | 21 | 1 | transformers | 0 | text-classification | true | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,030 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetuning-customer-sentiment-model-300-samples
This model is a fine-tuned version of [roberta-base](https://huggingface.co/robe... | 8efe64a74690ffbad3caa3342cf33fd9 |
MultiBertGunjanPatrick/multiberts-seed-1-400k | MultiBertGunjanPatrick | bert | 7 | 2 | transformers | 0 | null | true | false | false | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['exbert', 'multiberts', 'multiberts-seed-1'] | false | true | true | 6,483 | false | # MultiBERTs Seed 1 Checkpoint 400k (uncased)
Seed 1 intermediate checkpoint 400k MultiBERTs (pretrained BERT) model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/pdf/2106.16163.pdf) and first released in
[this repository](https://github.com/go... | 91183398ccc9c4b5e3a9794ac73a3d49 |
musika/nes-acoustic-more-energy-vocals | musika | null | 13 | 0 | null | 0 | null | false | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['audio', 'music', 'generation', 'tensorflow'] | false | true | true | 1,081 | false |
# Musika Model: Nes_Acoustic_More_Energy_Vocals
## Model provided by: nakas
Pretrained Nes_Acoustic_More_Energy_Vocals model for the [Musika system](https://github.com/marcoppasini/musika) for fast infinite waveform music generation.
Introduced in [this paper](https://arxiv.org/abs/2208.08706).
## How to use
You ca... | 872729c11313a074070ac07f59bcf4a5 |
google/bigbird-roberta-large | google | big_bird | 8 | 1,016 | transformers | 8 | fill-mask | true | false | true | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia', 'cc_news'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 2,769 | false |
# BigBird large model
BigBird, is a sparse-attention based transformer which extends Transformer based models, such as BERT to much longer sequences. Moreover, BigBird comes along with a theoretical understanding of the capabilities of a complete transformer that the sparse model can handle.
It is a pretrained model... | a5048e278d01469b41a96db2697645c8 |
ErykWdowiak/GPTalian | ErykWdowiak | gpt2 | 15 | 8 | transformers | 0 | text-generation | true | false | true | apache-2.0 | ['en', 'it', 'scn', 'nap'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['exbert', 'gpt2'] | false | true | true | 610 | false |
# GPTalian
This is a GPT2 model of Italian regional languages trained on [collections of Italian "dialect poetry"](http://dialectpoetry.com) by Luigi Bonaffini.
This is a multilingual model. Italians use the word "dialect" to describe their regional languages, but they are separate languages. And there's a lot of ... | eb8b0916a49be434d607c700c1cfa0bc |
Helsinki-NLP/opus-mt-niu-sv | Helsinki-NLP | marian | 10 | 8 | transformers | 0 | translation | true | true | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['translation'] | false | true | true | 776 | false |
### opus-mt-niu-sv
* source languages: niu
* target languages: sv
* OPUS readme: [niu-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](... | 78f64c167cc4ad2e2fa593985db7c2c5 |
patrickvonplaten/wav2vec2-large-xls-r-300m-turkish-colab | patrickvonplaten | wav2vec2 | 15 | 11 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | null | ['common_voice'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,791 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-large-xls-r-300m-turkish-colab
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface... | 7ef74c984e640c499b9d903eb98cf0a8 |
tomekkorbak/kind_torvalds | tomekkorbak | null | 2 | 0 | null | 0 | null | false | false | false | mit | ['en'] | ['tomekkorbak/pii-pile-chunk3-0-50000', 'tomekkorbak/pii-pile-chunk3-50000-100000', 'tomekkorbak/pii-pile-chunk3-100000-150000', 'tomekkorbak/pii-pile-chunk3-150000-200000', 'tomekkorbak/pii-pile-chunk3-200000-250000', 'tomekkorbak/pii-pile-chunk3-250000-300000', 'tomekkorbak/pii-pile-chunk3-300000-350000', 'tomekkorba... | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 7,874 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# kind_torvalds
This model was trained from scratch on the tomekkorbak/pii-pile-chunk3-0-50000, the tomekkorbak/pii-pile-chunk3-50... | 7cd1f4141409f5af192379cc0ebe8032 |
deval/distilbert-base-uncased-finetuned-ner | deval | distilbert | 13 | 3 | transformers | 0 | token-classification | true | false | false | apache-2.0 | null | ['conll2003'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,555 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | fb8b5760f5c401871cb80cfc6c706a5d |
muhtasham/small-mlm-rotten_tomatoes-custom-tokenizer | muhtasham | bert | 10 | 0 | transformers | 1 | fill-mask | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,468 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# small-mlm-rotten_tomatoes-custom-tokenizer
This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://hug... | 540f8ab1fc0ad9f19fc486d86e1b3adc |
arvalinno/distilbert-base-uncased-finetuned-indosquad-v2 | arvalinno | distilbert | 12 | 7 | transformers | 0 | question-answering | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,345 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-indosquad-v2
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingfa... | 82466442732bd1064c56e07417dc1e99 |
alk/mt5-small-finetuned-cnn_dailymail-en-es | alk | mt5 | 8 | 1 | transformers | 0 | text2text-generation | false | true | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_keras_callback'] | true | true | true | 1,647 | false |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# alk/mt5-small-finetuned-cnn_dailymail-en-es
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5... | 247770dbe9161cbdd92021a0fc081a35 |
gokuls/distilbert_add_GLUE_Experiment_stsb | gokuls | distilbert | 17 | 4 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en'] | ['glue'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,883 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert_add_GLUE_Experiment_stsb
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/disti... | 9119dc822e4b692f7fe4848325a4d301 |
OpenMatch/ance-tele_triviaqa_qry-encoder | OpenMatch | bert | 7 | 2 | transformers | 0 | feature-extraction | true | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 904 | false |
This model is the **query** encoder of ANCE-Tele trained on TriviaQA, described in the EMNLP 2022 paper ["Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives"](https://arxiv.org/pdf/2210.17167.pdf). The associated GitHub repository is available at https://github.com/OpenMatch/ANCE-T... | c69de658d979e50bf8324d62ca760835 |
grinman/AIsee | grinman | null | 6 | 0 | null | 0 | null | false | false | false | creativeml-openrail-m | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 1,896 | false | Made using highly curated best quality masterful artwork from an ancient indonesian stone carving website, with some help from their independent doodling connoisseur brothers in arms, 3000 pieces of their best work.
Prompt used: aiseeic
aisee_10000.ckpt was made with Anything v.3.
aiseeic_15000.ckpt was made with SD... | a8bc2c02a0125c1ffe6d07f78dfe5c9c |
versae/whisper-large-nob-ncc-s | versae | whisper | 27 | 0 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | ['no', 'nb'] | ['NbAiLab/NCC_S'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['whisper-event', 'generated_from_trainer'] | true | true | true | 1,576 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Large Norwegian
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-la... | d2855e58ec813c9d00624b5e7a6db4c3 |
rhizomuser/ddpm-butterflies-128 | rhizomuser | null | 11 | 1 | diffusers | 0 | null | false | false | false | apache-2.0 | ['en'] | ['huggan/smithsonian_butterflies_subset'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 1,232 | false |
<!-- This model card has been generated automatically according to the information the training script had access to. You
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# ddpm-butterflies-128
## Model description
This diffusion model is trained with the [🤗 Diffusers](https://github.com/hu... | 196e0393073407cad34ea685f9380926 |
DrishtiSharma/wav2vec2-large-xls-r-300m-sat-a3 | DrishtiSharma | wav2vec2 | 12 | 5 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | ['sat'] | ['mozilla-foundation/common_voice_8_0'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['automatic-speech-recognition', 'mozilla-foundation/common_voice_8_0', 'generated_from_trainer', 'sat', 'robust-speech-event', 'model_for_talk', 'hf-asr-leaderboard'] | true | true | true | 1,923 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-large-xls-r-300m-sat-a3
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/fac... | 84277fe6533a06beb0f5a730f7ecde7b |
davidaponte/mikovelliaponte-dog | davidaponte | null | 17 | 6 | diffusers | 0 | text-to-image | true | false | false | creativeml-openrail-m | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'diffusers', 'stable-diffusion', 'text-to-image', 'diffusion-models-class', 'dreambooth-hackathon', 'animal'] | false | true | true | 785 | false |
# DreamBooth model for the mikovelliaponte concept trained by davidaponte on the davidaponte/dreambooth-hackathon-images-miko dataset.
This is a Stable Diffusion model fine-tuned on the mikovelliaponte concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of mikovelliaponte dog**
This... | df0186e5ce46add2996b1bebb2d21377 |
tomekkorbak/quirky_ritchie | tomekkorbak | null | 2 | 0 | null | 0 | null | false | false | false | mit | ['en'] | ['tomekkorbak/detoxify-pile-chunk3-0-50000', 'tomekkorbak/detoxify-pile-chunk3-50000-100000', 'tomekkorbak/detoxify-pile-chunk3-100000-150000', 'tomekkorbak/detoxify-pile-chunk3-150000-200000', 'tomekkorbak/detoxify-pile-chunk3-200000-250000', 'tomekkorbak/detoxify-pile-chunk3-250000-300000', 'tomekkorbak/detoxify-pile... | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 8,760 | false |
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# quirky_ritchie
This model was trained from scratch on the tomekkorbak/detoxify-pile-chunk3-0-50000, the tomekkorbak/detoxify-pil... | 5321432c5a5126d5767edd0737ab9b4c |
cduncanja/emotion_model | cduncanja | bert | 24 | 2 | transformers | 0 | text-classification | true | false | false | mit | null | ['emotion'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,447 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# emotion_model
This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-... | df75601d6e8ebd532fe3e7fa8b11861d |
Geotrend/bert-base-en-fr-zh-ja-vi-cased | Geotrend | bert | 8 | 2 | transformers | 0 | fill-mask | true | true | true | apache-2.0 | ['multilingual'] | ['wikipedia'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 1,319 | false |
# bert-base-en-fr-zh-ja-vi-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give e... | 084234962dad937d3aea84d70c96b829 |
Geotrend/distilbert-base-en-es-it-cased | Geotrend | distilbert | 6 | 3 | transformers | 0 | fill-mask | true | false | false | apache-2.0 | ['multilingual'] | ['wikipedia'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 1,233 | false |
# distilbert-base-en-es-it-cased
We are sharing smaller versions of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) that handle a custom number of languages.
Our versions give exactly the same representations produced by the original model which preserves the original ... | bec0355dc2e3bd0dfd40e755dc3ea9f1 |
fusing/glide-base | fusing | null | 16 | 0 | null | 1 | null | false | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | [] | false | true | true | 1,891 | false |
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
**Paper**: [GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models](https://arxiv.org/abs/2112.10741)
**Abstract**:
*Diffusion models have recently been shown to generate high-quality ... | b4e6a980656da4307c2ef54292ca986f |
JulienDespres/whisper-small-fr | JulienDespres | whisper | 7 | 3 | transformers | 1 | automatic-speech-recognition | true | false | false | apache-2.0 | ['fr'] | ['mozilla-foundation/common_voice_11_0'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['hf-asr-leaderboard', 'generated_from_trainer'] | true | true | true | 1,006 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Small Fri - Despres Julien
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/wh... | 5692d83fdc2dfed71e10667ab610ca63 |
ufal/byt5-small-multilexnorm2021-trde | ufal | t5 | 6 | 4 | transformers | 1 | text2text-generation | true | false | false | apache-2.0 | ['tr', 'de', 'multilingual'] | ['mc4', 'wikipedia', 'multilexnorm'] | null | 1 | 0 | 0 | 1 | 0 | 0 | 0 | ['lexical normalization'] | false | true | true | 2,766 | false |
# Fine-tuned ByT5-small for MultiLexNorm (Turkish-German version)
This is the official release of the fine-tuned models for **the winning entry** to the [*W-NUT 2021: Multilingual Lexical Normalization (MultiLexNorm)* shared task](ht... | 4621735d4626bc5220d8c0abb695c485 |
lmqg/mt5-base-frquad-qag | lmqg | mt5 | 13 | 72 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['fr'] | ['lmqg/qag_frquad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['questions and answers generation'] | true | true | true | 4,117 | false |
# Model Card of `lmqg/mt5-base-frquad-qag`
This model is fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) for question & answer pair generation task on the [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) (dataset_name: default) via [`lmqg`](https://github.com/asahi417/... | 378fe61d00994caabefa7319ae9a2914 |
Helsinki-NLP/opus-mt-sv-ho | Helsinki-NLP | marian | 10 | 8 | transformers | 0 | translation | true | true | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['translation'] | false | true | true | 768 | false |
### opus-mt-sv-ho
* source languages: sv
* target languages: ho
* OPUS readme: [sv-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ho/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](http... | da789960dbca84aab4c0336148cde753 |
ejin/bert-base-cased-finetuned-ner | ejin | bert | 13 | 5 | transformers | 0 | token-classification | true | false | false | apache-2.0 | null | ['conll2003'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,345 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-cased-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on... | 77cb7333f27b92b522772a4a3ec4743d |
sentence-transformers/xlm-r-bert-base-nli-mean-tokens | sentence-transformers | xlm-roberta | 13 | 293 | sentence-transformers | 0 | sentence-similarity | true | true | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['sentence-transformers', 'feature-extraction', 'sentence-similarity', 'transformers'] | false | true | true | 3,835 | false |
**⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net - Pretrained Models](https://www.sbert.net/docs/pretrained_models.html)**
# sentence-transformers/xlm-r-bert-base-nli-mean-tokens
This is a [sente... | e55f5d76b5093675ab25ebded54c8cef |
Geotrend/bert-base-pl-cased | Geotrend | bert | 8 | 7 | transformers | 0 | fill-mask | true | true | true | apache-2.0 | ['pl'] | ['wikipedia'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 1,283 | false |
# bert-base-pl-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the s... | 511ca290044fc7bf12e4c46b96dc6e52 |
aliprf/Ad-Corre | aliprf | null | 25 | 0 | null | 0 | null | false | false | false | mit | ['en'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['Ad-Corre', 'facial expression recognition', 'emotion recognition', 'expression recognition', 'computer vision', 'CNN', 'loss', 'IEEE Access', 'Tensor Flow'] | false | true | true | 5,134 | false |
# Ad-Corre
Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild
[](https://paperswithcode.com/sota/facial-expressi... | 115c4bfed6d214c694295064d53b59e6 |
Filial/distilbert-base-uncased-finetuned-squad | Filial | distilbert | 12 | 3 | transformers | 0 | question-answering | true | false | false | apache-2.0 | null | ['squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,284 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | aa0d84e088b733e8e51aa191c4425b21 |
theojolliffe/bart-cnn-pubmed-arxiv-pubmed-v3-e12 | theojolliffe | bart | 13 | 3 | transformers | 0 | text2text-generation | true | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 2,642 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-cnn-pubmed-arxiv-pubmed-v3-e12
This model is a fine-tuned version of [theojolliffe/bart-cnn-pubmed-arxiv-pubmed](https://hu... | 5ff1480d945c8538c543ce5b6910f35a |
anton-l/wav2vec2-large-xlsr-53-romanian | anton-l | wav2vec2 | 9 | 391 | transformers | 0 | automatic-speech-recognition | true | false | true | apache-2.0 | ['ro'] | ['common_voice'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['audio', 'automatic-speech-recognition', 'speech', 'xlsr-fine-tuning-week'] | true | true | true | 3,670 | false |
# Wav2Vec2-Large-XLSR-53-Romanian
Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Romanian using the [Common Voice](https://huggingface.co/datasets/common_voice) dataset.
When using this model, make sure that your speech input is sampled at 16kHz.
## Usage
The... | 6ecad321ef52a49a551921f924582909 |
gokuls/distilbert_sa_GLUE_Experiment_logit_kd_rte_96 | gokuls | distilbert | 17 | 2 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en'] | ['glue'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 2,058 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert_sa_GLUE_Experiment_logit_kd_rte_96
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingfac... | 1f2a071596e810d9a070673b07da56fb |
gokuls/distilbert_sa_GLUE_Experiment_data_aug_wnli_96 | gokuls | distilbert | 17 | 0 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en'] | ['glue'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,626 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert_sa_GLUE_Experiment_data_aug_wnli_96
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingfa... | fbd171bc876c4f84b04fab0101474a4c |
Helsinki-NLP/opus-mt-sv-tw | Helsinki-NLP | marian | 10 | 7 | transformers | 0 | translation | true | true | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['translation'] | false | true | true | 768 | false |
### opus-mt-sv-tw
* source languages: sv
* target languages: tw
* OPUS readme: [sv-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-tw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](http... | 68f57a615f861ffa5515b4ddc57abf4b |
cat666/VToooo | cat666 | null | 20 | 44 | diffusers | 0 | text-to-image | false | false | false | creativeml-openrail-m | ['en'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['stable-diffusion', 'stable-diffusion-diffusers', 'text-to-image', 'diffusers'] | false | true | true | 1,476 | false |
learning_rate 2.5e-6, training with a6000x1, because I am too busy recently, I should not be able to actively do it, and the funds are slightly insufficient
,Forget it, I'm overtraining, take it as an interesting model,(Warning: above 768x832 is recommended, I found that the results below seem to be less than ideal)
... | 276b40c8f98502947a7f42cac18d7028 |
Helsinki-NLP/opus-mt-taw-en | Helsinki-NLP | marian | 11 | 10 | transformers | 0 | translation | true | true | false | apache-2.0 | ['lo', 'th', 'taw', 'en'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['translation'] | false | true | true | 2,102 | false |
### taw-eng
* source group: Tai
* target group: English
* OPUS readme: [taw-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/taw-eng/README.md)
* model: transformer
* source language(s): lao tha
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiec... | 5b6b8edc19603c0f7486adf026f45ae9 |
Hoax0930/marian-finetuned-kde4-en-to-ja | Hoax0930 | marian | 16 | 1 | transformers | 0 | translation | true | false | false | apache-2.0 | null | ['kde4'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['translation', 'generated_from_trainer'] | true | true | true | 1,085 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# marian-finetuned-kde4-en-to-ja
This model is a fine-tuned version of [Helsinki-NLP/opus-tatoeba-en-ja](https://huggingface.co/He... | 54e634c96e859fdfd5aa3b482998b3cd |
paola-md/recipe-gauss-2 | paola-md | roberta | 6 | 1 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,984 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# recipe-gauss-2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None... | ec7d9002cb62aa9522c162ff415798df |
sentence-transformers/msmarco-distilbert-multilingual-en-de-v2-tmp-lng-aligned | sentence-transformers | distilbert | 13 | 230 | sentence-transformers | 2 | sentence-similarity | true | true | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['sentence-transformers', 'feature-extraction', 'sentence-similarity', 'transformers'] | false | true | true | 3,714 | false |
# sentence-transformers/msmarco-distilbert-multilingual-en-de-v2-tmp-lng-aligned
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Usi... | 9309359a30dc7181fbb5e4b5affa3f7b |
shila/distilbert-base-uncased-finetuned-squad | shila | distilbert | 14 | 2 | transformers | 0 | question-answering | true | false | false | apache-2.0 | null | ['squad_v2_loading_script'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,297 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | 28b032adefa395d8e426ad66174916d4 |
gokuls/distilbert_sa_GLUE_Experiment_cola_256 | gokuls | distilbert | 17 | 4 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en'] | ['glue'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,945 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert_sa_GLUE_Experiment_cola_256
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | f77b9ff2f305f57643374bd17c75d7eb |
PeterBanning71/t5-small-finetuned-eLife | PeterBanning71 | t5 | 14 | 0 | transformers | 0 | summarization | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['summarization', 'generated_from_trainer'] | true | true | true | 1,576 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-small-finetuned-eLife
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
... | 683eb141592b6db8ff0f9b5b0e28d71c |
Jingmiao/whisper-small-zh_tw | Jingmiao | whisper | 30 | 31 | transformers | 1 | automatic-speech-recognition | true | false | false | apache-2.0 | ['zh'] | ['mozilla-foundation/common_voice_11_0'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['whisper-event', 'generated_from_trainer'] | true | true | true | 1,578 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Small Chinese (Taiwan)
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisp... | a8a753097ef44ab09bf5c7f29e453051 |
d0r1h/testt5 | d0r1h | t5 | 13 | 2 | transformers | 0 | text2text-generation | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,064 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5_assets
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves t... | 422e310037f1786b7e15bbd3cfc0379b |
KarelDO/gpt2.CEBaB_confounding.food_service_positive.absa.5-class.seed_44 | KarelDO | gpt2 | 15 | 2 | transformers | 0 | null | true | false | false | mit | ['en'] | ['OpenTable'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,099 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gpt2.CEBaB_confounding.food_service_positive.absa.5-class.seed_44
This model is a fine-tuned version of [gpt2](https://huggingfa... | fada9c0b9ff0be2541571bb391584faa |
omkarp/vit-base-patch16-224-finetuned-eurosat | omkarp | vit | 24 | 3 | transformers | 0 | image-classification | true | false | false | apache-2.0 | null | ['imagefolder'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,337 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# vit-base-patch16-224-finetuned-eurosat
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.c... | 15243a426221ac1592e33ff56902ca6f |
ImageIN/convnext-tiny-224_finetuned | ImageIN | convnext | 7 | 9 | transformers | 0 | image-classification | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 2,230 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# convnext-tiny-224_finetuned
This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/c... | 81aeca2a363ad57bf36ae8a6996d1142 |
google/multiberts-seed_3-step_40k | google | bert | 8 | 15 | transformers | 0 | null | true | true | false | apache-2.0 | ['en'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['multiberts', 'multiberts-seed_3', 'multiberts-seed_3-step_40k'] | false | true | true | 3,515 | false |
# MultiBERTs, Intermediate Checkpoint - Seed 3, Step 40k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained with
similar hyper-parameters as
[the original BERT model](https://github.com/google-research/bert) but
with different... | b557bca715a47963bed13bb11a16b3bf |
jmassot/distilbert-base-uncased-jm-distilled-clinc_hub | jmassot | distilbert | 10 | 1 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | ['clinc_oos'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,800 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-jm-distilled-clinc_hub
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingfa... | 074535520e9875095ef4cf60a5efdb22 |
anas-awadalla/roberta-base-few-shot-k-16-finetuned-squad-seed-2 | anas-awadalla | roberta | 17 | 5 | transformers | 0 | question-answering | true | false | false | mit | null | ['squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 985 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-few-shot-k-16-finetuned-squad-seed-2
This model is a fine-tuned version of [roberta-base](https://huggingface.co/ro... | 12e8da2198a0d6466841f1a6662737ce |
jonatasgrosman/exp_w2v2t_th_r-wav2vec2_s730 | jonatasgrosman | wav2vec2 | 10 | 5 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | ['th'] | ['mozilla-foundation/common_voice_7_0'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['automatic-speech-recognition', 'th'] | false | true | true | 462 | false | # exp_w2v2t_th_r-wav2vec2_s730
Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your spee... | d0527a8a42764aadbb7412bf2cce6440 |
valhalla/t5-base-qg-hl | valhalla | t5 | 10 | 72,604 | transformers | 2 | text2text-generation | true | false | false | mit | null | ['squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['question-generation'] | false | true | true | 1,091 | false |
## T5 for question-generation
This is [t5-base](https://arxiv.org/abs/1910.10683) model trained for answer aware question generation task. The answer spans are highlighted within the text with special highlight tokens.
You can play with the model using the inference API, just highlight the answer spans with `<hl>` t... | 8760017ecd5a9ac3c4964a553bd46c8b |
stockmark/bart-base-japanese-news | stockmark | bart | 9 | 1,401 | transformers | 6 | text2text-generation | true | true | false | mit | ['ja'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['ja', 'japanese', 'bart', 'lm', 'nlp'] | false | true | true | 5,054 | false |
# bart-base-japanese-news(base-sized model)
This repository provides a Japanese BART model. The model was trained by [Stockmark Inc.](https://stockmark.co.jp)
An introductory article on the model can be found at the following URL.
[https://tech.stockmark.co.jp/blog/bart-japanese-base-news/](https://tech.stockmark.co... | 50a503423e8490be6d28e94b04a47095 |
naver-clova-ix/donut-base-finetuned-zhtrainticket | naver-clova-ix | vision-encoder-decoder | 11 | 202 | transformers | 0 | image-to-text | true | false | false | mit | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['donut', 'image-to-text', 'vision'] | false | true | true | 1,973 | false |
# Donut (base-sized model, fine-tuned on ZhTrainTicket)
Donut model fine-tuned on ZhTrainTicket. It was introduced in the paper [OCR-free Document Understanding Transformer](https://arxiv.org/abs/2111.15664) by Geewok et al. and first released in [this repository](https://github.com/clovaai/donut).
Disclaimer: The ... | 26351ddf6bb66b12a5234066f6069247 |
nc33/my_awesome_wnut_model | nc33 | roberta | 16 | 0 | transformers | 0 | token-classification | true | false | false | mit | null | ['wnut_17'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,455 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# my_awesome_wnut_model
This model is a fine-tuned version of [facebook/muppet-roberta-base](https://huggingface.co/facebook/muppe... | 7d638da2433a6bf66cb023420e8c885a |
konrad-wesub/roberta-base-iphone-2 | konrad-wesub | xlm-roberta | 9 | 0 | transformers | 0 | text-classification | true | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,258 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta-base-iphone-2
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the N... | 5afdb207c8037d5fb8035b9a23084c55 |
hfl/chinese-electra-180g-base-generator | hfl | electra | 10 | 6 | transformers | 0 | fill-mask | true | true | false | apache-2.0 | ['zh'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 1,918 | false |
# This model is trained on 180G data, we recommend using this one than the original version.
## Chinese ELECTRA
Google and Stanford University released a new pre-trained model called ELECTRA, which has a much compact model size and relatively competitive performance compared to BERT and its variants.
For further acce... | 687792b21a34743cd8d89ef7638deee0 |
theta/mbti-career | theta | xlm-roberta | 12 | 38 | transformers | 0 | text-classification | true | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 2,394 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mbti-career
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown data... | 3df8d2eb6fa41dc4cbf474c371a786d8 |
Mallik/distilbert-base-uncased-finetuned-emotion | Mallik | distilbert | 14 | 4 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,325 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | 189f2f525dbfa58a040ed7ba74f55b44 |
mindwrapped/collaborative-filtering-movielens-copy | mindwrapped | null | 10 | 4 | keras | 1 | tabular-classification | false | false | false | ['cc0-1.0'] | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['collaborative-filtering', 'recommender', 'tabular-classification'] | false | true | true | 1,368 | false |
## Model description
This repo contains the model and the notebook on [how to build and train a Keras model for Collaborative Filtering for Movie Recommendations](https://keras.io/examples/structured_data/collaborative_filtering_movielens/).
Full credits to [Siddhartha Banerjee](https://twitter.com/sidd2006).
## I... | b630039a0ea8a2f8d7d9abd358be5d9d |
anas-awadalla/bart-base-finetuned-squad-infilling-lr-3e-5-decay-001 | anas-awadalla | bart | 18 | 1 | transformers | 0 | text2text-generation | true | false | false | apache-2.0 | null | ['squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,066 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-base-finetuned-squad-infilling-lr-3e-5-decay-001
This model is a fine-tuned version of [facebook/bart-base](https://hugging... | 2ab0e4098d030a6bca2a1d57dbd65186 |
horizonial/dogcg | horizonial | null | 18 | 9 | diffusers | 0 | text-to-image | false | false | false | creativeml-openrail-m | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['text-to-image', 'stable-diffusion'] | false | true | true | 417 | false | ### dogcg Dreambooth model trained by horizonial 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 [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-d... | e322121ea14f73e753392454a072ea84 |
Pavithra/codeparrot-ds-500sample-gpt-neo-10epoch | Pavithra | gpt_neo | 13 | 3 | transformers | 0 | text-generation | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,262 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-ds-500sample-gpt-neo-10epoch
This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/E... | a24c3861f4466f415ec8e8925c69c0e2 |
lizaboiarchuk/results | lizaboiarchuk | bert | 9 | 11 | transformers | 0 | text-classification | true | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,743 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# results
This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on a... | 1caf4a466cee428344f2407cfdc9190e |
charlemagne/distilbert-base-uncased-new3-cola | charlemagne | distilbert | 13 | 2 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,469 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-new3-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilb... | 21210d92a2e0dcbd44b7e611b6dd9544 |
vicl/canine-c-finetuned-cola | vicl | canine | 11 | 113 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | ['glue'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,540 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# canine-c-finetuned-cola
This model is a fine-tuned version of [google/canine-c](https://huggingface.co/google/canine-c) on the g... | 82f51bd3147df6a80306ffc984bf5efe |
apatidar0/anil_bert-finetuned-ner | apatidar0 | bert | 12 | 12 | transformers | 0 | token-classification | true | false | false | apache-2.0 | null | ['conll2003'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,523 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# anil_bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the c... | 3a726a2d8192112ce94cfffc45c7ade3 |
mgoudarz/distilbert-base-uncased-finetunded-emotion | mgoudarz | distilbert | 14 | 1 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | ['emotion'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,422 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetunded-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.c... | c12459ab86168b7ab2ab4b63b5ffd970 |
superb/hubert-base-superb-sid | superb | hubert | 5 | 72 | transformers | 0 | audio-classification | true | false | false | apache-2.0 | ['en'] | ['superb'] | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | ['speech', 'audio', 'hubert', 'audio-classification'] | false | true | true | 3,038 | false |
# Hubert-Base for Speaker Identification
## Model description
This is a ported version of
[S3PRL's Hubert for the SUPERB Speaker Identification task](https://github.com/s3prl/s3prl/tree/master/s3prl/downstream/voxceleb1).
The base model is [hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960), whi... | c243f8c4ed9bc892fb2c7fe2f042e87e |
KenP/mt5-small-finetuned-amazon-en-es | KenP | mt5 | 8 | 1 | transformers | 0 | text2text-generation | false | true | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_keras_callback'] | true | true | true | 1,645 | false |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# KenP/mt5-small-finetuned-amazon-en-es
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small... | ad5b59e2887f8d064fffeb9371eb0553 |
radev/xlm-roberta-base-finetuned-panx-de | radev | xlm-roberta | 18 | 14 | transformers | 0 | token-classification | true | false | false | mit | null | ['xtreme'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,320 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | 7c90f9eba006b620e6fade188352dae3 |
ethanyt/guwen-quote | ethanyt | roberta | 7 | 11 | transformers | 0 | token-classification | true | false | false | apache-2.0 | ['zh'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['chinese', 'classical chinese', 'literary chinese', 'ancient chinese', 'bert', 'pytorch', 'quotation detection'] | false | true | true | 1,098 | false |
# Guwen Quote
A Classical Chinese Quotation Detector.
Note: There are some problems with decoding using the default sequence classification model. Use the CRF model to achieve the best results. CRF related code please refer to
[Guwen Models](https://github.com/ethan-yt/guwen-models).
See also:
<a href="https://gi... | 3dee1dbfa6b9e1e16627e9cb69fe46a5 |
Hemanth045/wav2vec2-large-xls-r-300m-hindi-colab | Hemanth045 | wav2vec2 | 27 | 5 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | null | ['common_voice'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,369 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-large-xls-r-300m-hindi-colab
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.c... | ade29f80e72152a9a4e8ce1ea7f43d28 |
gokuls/distilbert_sa_GLUE_Experiment_data_aug_cola_96 | gokuls | distilbert | 17 | 0 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en'] | ['glue'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,734 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert_sa_GLUE_Experiment_data_aug_cola_96
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingfa... | a060ee1a107bf184dc2c6762d2ceade3 |
yangwang825/ecapa-tdnn-vox2 | yangwang825 | null | 6 | 1 | speechbrain | 0 | null | true | false | false | apache-2.0 | ['en'] | ['voxceleb'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['speechbrain', 'embeddings', 'Speaker', 'Verification', 'Identification', 'pytorch', 'ECAPA-TDNN'] | false | true | true | 4,131 | false |
# Speaker Identification with ECAPA-TDNN embeddings on Voxceleb
This repository provides a pretrained ECAPA-TDNN model using SpeechBrain. The system can be used to extract speaker embeddings as well. Since we can't find any resource that has SpeechBrain or HuggingFace compatible checkpoints that has only been trained... | 40078ea9724044e169dea9a1f055ee84 |
OWG/bert-base-uncased | OWG | bert | 4 | 4 | transformers | 0 | fill-mask | false | false | false | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['exbert'] | false | true | true | 1,389 | false |
# BERT base model (uncased)
## Model description
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository](https://github.com/google-research/bert). This model is uncased: it does ... | d46c38fe5324fa0bc8b6bd94e00c31cd |
sw005320/aidatatang_200zh_conformer | sw005320 | null | 35 | 5 | espnet | 2 | automatic-speech-recognition | false | false | false | cc-by-4.0 | ['zh'] | ['aidatatang_200zh'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['espnet', 'audio', 'automatic-speech-recognition'] | false | true | true | 22,467 | false |
## ESPnet2 ASR model
### `sw005320/aidatatang_200zh_conformer`
This model was trained by Shinji Watanabe using aidatatang_200zh recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ESPnet2
```bash
cd espnet
git checkout 8ab3d9f2191f250cb62deff222d2e6addb3842dc
pip install -e .
cd egs2/ai... | 23f3f6d8b0b60152408dceddf2111f17 |
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