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faisito/xlm-roberta-base-finetuned-panx-de-fr | faisito | xlm-roberta | 9 | 5 | transformers | 0 | token-classification | true | false | false | mit | null | null | 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-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | 727390b84efb0b08581595e5a90cd99a |
fanzru/bart-base-finetuned-xlsum-concat-multi-news | fanzru | bart | 21 | 1 | 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 | 1,462 | 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-xlsum-concat-multi-news
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/fa... | b54df0dc5a4d3d6cb99eb611a9ec27af |
Ryosuke/an2-stable-diffusion | Ryosuke | null | 20 | 41 | diffusers | 2 | text-to-image | false | false | false | creativeml-openrail-m | null | null | null | 2 | 2 | 0 | 0 | 0 | 0 | 0 | ['text-to-image', 'stable-diffusion'] | false | true | true | 914 | false | ### an2-stable-diffusion Dreambooth model trained by Ryosuke 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/f... | 135f2ce99c92d99e708a3d9b71f374de |
pardeep/distilbert-base-uncased-finetuned-emotion-ch02 | pardeep | 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 | 1,342 | 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-ch02
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingfa... | 9f219efca827b8ea0616c4e7457b7a38 |
gokuls/bert-tiny-emotion-KD-distilBERT | gokuls | bert | 13 | 3 | 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 | 2,230 | 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. -->
# bert-tiny-emotion-KD-distilBERT
This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co... | 81974a4180d4fb573a7f57d104ec72c7 |
hugsao123/XLM-R-fine-tuned-for-ner | hugsao123 | xlm-roberta | 23 | 13 | transformers | 0 | token-classification | true | false | false | mit | null | ['xtreme'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,734 | 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. -->
# XLM-R-fine-tuned-for-ner
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on th... | f3f435e0cfa2515723077d6050a2feb7 |
mfleck/wav2vec2-large-xls-r-300m-slowenian-with-lm | mfleck | wav2vec2 | 11 | 6 | 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 | 2,025 | 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-slowenian-with-lm
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://hugging... | 18b192192bd4c54013f62c5128878cd2 |
versae/wav2vec2-base-coscan-no-area | versae | wav2vec2 | 10 | 3 | transformers | 0 | audio-classification | true | false | false | apache-2.0 | null | ['coscan-speech2'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,267 | 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-base-coscan-no-area
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2... | e5ed37f5e7c095b4d0b3e7d10f58966d |
tomekkorbak/wonderful_keller | tomekkorbak | gpt2 | 23 | 1 | transformers | 0 | null | true | 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 | 8,757 | 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. -->
# wonderful_keller
This model was trained from scratch on the tomekkorbak/detoxify-pile-chunk3-0-50000, the tomekkorbak/detoxify-p... | 7bb4580e02a1c4579954133603c11318 |
jonatasgrosman/exp_w2v2t_sv-se_xlsr-53_s624 | jonatasgrosman | wav2vec2 | 10 | 8 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | ['sv-SE'] | ['mozilla-foundation/common_voice_7_0'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['automatic-speech-recognition', 'sv-SE'] | false | true | true | 467 | false | # exp_w2v2t_sv-se_xlsr-53_s624
Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your... | 8185adc4cb363c39d3bba222f6a5cda1 |
VanHoan/bert-finetuned-squad | VanHoan | bert | 16 | 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 | 954 | 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. -->
# bert-finetuned-squad
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the squa... | 40b9c5428d3e47a47db2b0b397b60c10 |
Freazling/test-sentiment-model-imdb-3000-samples | Freazling | distilbert | 10 | 5 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | ['imdb'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,058 | 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. -->
# test-sentiment-model-imdb-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | f3132be95197cb270f03856ca76676f1 |
clementchadebec/reproduced_ciwae | clementchadebec | null | 7 | 0 | pythae | 0 | null | false | false | false | apache-2.0 | ['en'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pythae', 'reproducibility'] | false | true | true | 678 | false |
This model was trained with pythae. It can be downloaded or reloaded using the method `load_from_hf_hub`
```python
>>> from pythae.models import AutoModel
>>> model = AutoModel.load_from_hf_hub(hf_hub_path="clementchadebec/reproduced_ciwae")
```
## Reproducibility
This trained model reproduces the results of the offi... | 999cff5b080b26c35a77c07a9d71ebcd |
pyf98/slurp_entity_conformer | pyf98 | null | 21 | 2 | espnet | 0 | automatic-speech-recognition | false | false | false | cc-by-4.0 | ['en'] | ['slurp_entity'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['espnet', 'audio', 'automatic-speech-recognition'] | false | true | true | 11,767 | false |
## ESPnet2 ASR model
### `pyf98/slurp_entity_conformer`
This model was trained by Yifan Peng using slurp_entity recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ESPnet2
```bash
cd espnet
git checkout 55b6cc387fd0252d1a06db2042fd101bcea7bb34
pip install -e .
cd egs2/slurp_entity/asr1
... | a94fd6cb60ec4a0d8e173a09cf4248e1 |
Alexwww/jason-art | Alexwww | null | 18 | 181 | diffusers | 1 | 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 | 505 | false | ### Jason-Art Dreambooth model trained by Alexwww with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Putting the prompte words: "photography minimal symmetric" will help get better outputs
Test the concept via A1111 Co... | 6457cf3d849f4064e2e1fd1cba1ccc0e |
jacob-valdez/blenderbot-small-tflite | jacob-valdez | null | 3 | 0 | null | 0 | null | false | false | false | apache-2.0 | ['en'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['Android', 'tflite', 'blenderbot'] | false | true | true | 2,318 | false | # Model Card
`blenderbot-small-tflite` is a tflite version of `blenderbot-small-90M` I converted for my UTA CSE3310 class. See the repo at [https://github.com/kmosoti/DesparadosAEYE](https://github.com/kmosoti/DesparadosAEYE) and the conversion process [here](https://drive.google.com/file/d/1F93nMsDIm1TWhn70FcLtcaKQUy... | e74c557f7ab1daa1b65624d876636a46 |
Geotrend/distilbert-base-en-th-cased | Geotrend | distilbert | 6 | 5 | transformers | 0 | fill-mask | true | false | false | apache-2.0 | ['multilingual'] | ['wikipedia'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 1,224 | false |
# distilbert-base-en-th-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 acc... | c8fb073bffb3c4b3185c8a2524528b14 |
DOOGLAK/Article_50v9_NER_Model_3Epochs_UNAUGMENTED | DOOGLAK | bert | 13 | 5 | transformers | 0 | token-classification | true | false | false | apache-2.0 | null | ['article50v9_wikigold_split'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,550 | 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. -->
# Article_50v9_NER_Model_3Epochs_UNAUGMENTED
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-b... | 3c2708e4ac86986c457442539f21bb01 |
ryanlai/distilbert-base-uncased-finetuned-imdb | ryanlai | distilbert | 22 | 1 | 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
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | ede77133f9165ccfad8fb81f353aa7b1 |
domenicrosati/deberta-v3-large-dapt-scientific-papers-pubmed-finetuned-DAGPap22 | domenicrosati | deberta-v2 | 12 | 1 | transformers | 0 | text-classification | true | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['text-classification', 'generated_from_trainer'] | true | true | true | 2,209 | 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. -->
# deberta-v3-large-dapt-scientific-papers-pubmed-finetuned-DAGPap22
This model is a fine-tuned version of [domenicrosati/deberta-v... | beaeb643a1629561765eec03c8ec5069 |
sayakpaul/glpn-nyu-finetuned-diode-221228-072509 | sayakpaul | glpn | 7 | 1 | transformers | 0 | depth-estimation | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['vision', 'depth-estimation', 'generated_from_trainer'] | true | true | true | 7,836 | 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. -->
# glpn-nyu-finetuned-diode-221228-072509
This model is a fine-tuned version of [vinvino02/glpn-nyu](https://huggingface.co/vinvino... | 24a6164b6f6cd71802ce6e379bdf8d97 |
Dizzykong/Aristotle-8-29 | Dizzykong | gpt2 | 13 | 2 | transformers | 0 | text-generation | true | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 903 | 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. -->
# Aristotle-8-29
This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
#... | 025dd24244c6b6a2b8accbcf47fe9a2d |
zhihao/distilbert-base-uncased-finetuned-ner | zhihao | distilbert | 13 | 11 | transformers | 0 | token-classification | true | false | false | apache-2.0 | null | ['conll2003'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | false | true | true | 1,554 | 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-ner
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | ccc2e92fcb1f96a30999db45a0ea7f5b |
Huyen2310/Vin13000 | Huyen2310 | whisper | 17 | 0 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | ['vi'] | ['mozilla-foundation/common_voice_11_0'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['hf-asr-leaderboard', 'generated_from_trainer'] | true | true | true | 1,024 | 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. -->
# Hieu Dam Model Shuffle
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small)... | 576b685678981bf6f959e8d19d7775ce |
it5/it5-base-repubblica-to-ilgiornale | it5 | t5 | 10 | 5 | transformers | 0 | text2text-generation | true | true | true | apache-2.0 | ['it'] | ['gsarti/change_it'] | {'emissions': '17g', 'source': 'Google Cloud Platform Carbon Footprint', 'training_type': 'fine-tuning', 'geographical_location': 'Eemshaven, Netherlands, Europe', 'hardware_used': '1 TPU v3-8 VM'} | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['italian', 'sequence-to-sequence', 'newspaper', 'ilgiornale', 'repubblica', 'style-transfer'] | true | true | true | 3,258 | false | # IT5 Base for News Headline Style Transfer (Repubblica to Il Giornale) 🗞️➡️🗞️ 🇮🇹
This repository contains the checkpoint for the [IT5 Base](https://huggingface.co/gsarti/it5-base) model fine-tuned on news headline style transfer in the Repubblica to Il Giornale direction on the Italian CHANGE-IT dataset as part o... | cadaf9c4c35ed8350cc698b4cb2befb6 |
jhonparra18/bert-base-uncased-cv-position-classifier | jhonparra18 | bert | 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 | 1,739 | 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. -->
# bert-base-uncased-cv-position-classifier
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-b... | 961c02373c565f0e53ff39e5f53041ee |
Helsinki-NLP/opus-mt-zne-es | 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 | 776 | false |
### opus-mt-zne-es
* source languages: zne
* target languages: es
* OPUS readme: [zne-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/zne-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](... | 11c651097673eb64d885f00c1410b3d5 |
Helsinki-NLP/opus-mt-fr-ar | Helsinki-NLP | marian | 11 | 162 | transformers | 0 | translation | true | true | false | apache-2.0 | ['fr', 'ar'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['translation'] | false | true | true | 2,160 | false |
### fra-ara
* source group: French
* target group: Arabic
* OPUS readme: [fra-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-ara/README.md)
* model: transformer
* source language(s): fra
* target language(s): apc ara arq arq_Latn ary arz
* model: transformer
* pre-processing: norma... | b7f30356b0eba76c43c0c92ff04138f4 |
Helsinki-NLP/opus-mt-de-ca | Helsinki-NLP | marian | 11 | 31 | transformers | 0 | translation | true | true | false | apache-2.0 | ['de', 'ca'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['translation'] | false | true | true | 1,996 | false |
### deu-cat
* source group: German
* target group: Catalan
* OPUS readme: [deu-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-cat/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): cat
* model: transformer-align
* pre-processing: normalization + S... | 5d063c85d9cdacd20278383e75e8c8f2 |
SCUT-DLVCLab/lilt-roberta-en-base | SCUT-DLVCLab | lilt | 9 | 6,242 | transformers | 8 | feature-extraction | true | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['vision'] | false | true | true | 2,042 | false |
# LiLT-RoBERTa (base-sized model)
Language-Independent Layout Transformer - RoBERTa model by stitching a pre-trained RoBERTa (English) and a pre-trained Language-Independent Layout Transformer (LiLT) together. It was introduced in the paper [LiLT: A Simple yet Effective Language-Independent Layout Transformer for St... | 6a1a99a937a0cf8c625fcde2825794ac |
timm/convnext_pico.d1_in1k | timm | null | 4 | 94 | timm | 0 | image-classification | true | false | false | apache-2.0 | null | ['imagenet-1k'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['image-classification', 'timm'] | false | true | true | 21,334 | false | # Model card for convnext_pico.d1_in1k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Params (M): 9.0
- GMACs: 1.4
- Activations (M): 6.1
- Image size: 224 x 224
- **Pape... | d7ac7bffbe58db78cfa1200ac0beaf15 |
nandysoham/1-clustered | nandysoham | distilbert | 8 | 34 | transformers | 0 | question-answering | false | true | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_keras_callback'] | true | true | true | 2,073 | false |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# nandysoham/1-clustered
This model is a fine-tuned version of [Rocketknight1/distilbert-base-uncased-finetuned-squad](https://huggingfa... | 81dea1a0ea1ed40baa977f7ad5c4e121 |
Sarahliu186/wav2vec2-base-timit-demo-colab | Sarahliu186 | wav2vec2 | 12 | 9 | 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 | 1,014 | 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-base-timit-demo-colab
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wa... | 2cf5d142b11dfd6b6c5246030f287cce |
muhtasham/small-mlm-glue-rte-target-glue-rte | muhtasham | bert | 10 | 3 | 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 | 1,438 | 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. -->
# small-mlm-glue-rte-target-glue-rte
This model is a fine-tuned version of [muhtasham/small-mlm-glue-rte](https://huggingface.co/m... | 721c173b1c3886b94388360767836b29 |
merve/UCI_Credit_Cardyi6q1ptm-PAY_0-classification | merve | null | 4 | 0 | sklearn | 0 | tabular-classification | false | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['tabular-classification', 'baseline-trainer'] | false | true | true | 11,020 | false |
## Baseline Model trained on UCI_Credit_Cardyi6q1ptm to apply classification on PAY_0
**Metrics of the best model:**
accuracy 0.715467
recall_macro 0.777916
precision_macro 0.578960
f1_macro 0.596625
Name: DecisionTreeClassifier(class_weight='balanced', min_impurity_decrease=0.01), d... | dce1dfa9f352728011c4e8371dc73fbc |
malloc/OpenNMT-py-German-English-2-layer-BiLSTM | malloc | null | 3 | 0 | null | 0 | translation | true | false | false | mit | ['de', 'en'] | ['IWSLT ‘14 DE-EN'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['translation', 'pytorch'] | false | true | true | 452 | false | # OpenNMT-py-English-German-Transformer
[OpenNMT-py](https://github.com/OpenNMT/OpenNMT-py) is the PyTorch version of the OpenNMT project, an open-source (MIT) neural machine translation framework.
OpenNMT has several [pretrained models](https://opennmt.net/Models-py/). This one is trained particularly for German to En... | 2aa6125a99c197823051205f2afb3e65 |
emrevarol/dz_finetuning-medium-distillbert-95K | emrevarol | distilbert | 13 | 3 | 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 | 1,100 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# dz_finetuning-medium-distillbert-95K
This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](htt... | c49da6cb127bddb55883c9f6dd527bc4 |
l3cube-pune/hi-least-ht-1m | l3cube-pune | bert | 8 | 4 | transformers | 0 | fill-mask | true | false | false | cc-by-4.0 | ['hi'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 548 | false |
A HindBERT (l3cube-pune/hindi-bert-v2) model finetuned on least hateful Hindi Tweets.<br>
More details on the dataset, models, and baseline results can be found in our [paper] (<a href='https://arxiv.org/abs/2210.04267'> link </a>)<br>
```
@article{gokhale2022spread,
title={Spread Love Not Hate: Undermining the Impo... | dab6ee5486f41127ee34a2f986ca81b6 |
anmol-chawla/dyc0002 | anmol-chawla | null | 15 | 4 | 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 | 614 | false | ### dyc0002 Dreambooth model trained by anmol-chawla 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-stab... | 297a6860cf1c4cfa64d26164a482f303 |
sshleifer/distilbart-cnn-6-6 | sshleifer | bart | 9 | 11,117 | transformers | 16 | summarization | true | false | true | apache-2.0 | ['en'] | ['cnn_dailymail', 'xsum'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['summarization'] | false | true | true | 1,536 | false |
### Usage
This checkpoint should be loaded into `BartForConditionalGeneration.from_pretrained`. See the [BART docs](https://huggingface.co/transformers/model_doc/bart.html?#transformers.BartForConditionalGeneration) for more information.
### Metrics for DistilBART models
| Model Name | MM Params |... | 3b59ab886d3e0ad6dfa27f1ca72822ce |
bheshaj/bart-large-cnn-small-billsum-5epochs | bheshaj | bart | 10 | 133 | transformers | 0 | text2text-generation | true | false | false | mit | null | ['billsum'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,678 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-large-cnn-small-billsum-5epochs
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/face... | 49c385bc3654d64ba54b6bedbbeddcf2 |
HURIDOCS/pdf-segmetation | HURIDOCS | null | 8 | 0 | null | 0 | null | false | false | false | openrail | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 726 | false |
<h3 align="center">PDF Paragraphs Extraction</h3>
<p align="center">A model for extracting paragraphs from PDFs</p>
This model uses features from the PDF to extract the text and paragraphs from it. It can be used as a service.
The paragraphs contain the page number, the position in the page, the size, and the text... | 1a5f32f2a44acdc017ec1620f3b04c68 |
jonatasgrosman/exp_w2v2t_pl_hubert_s6 | jonatasgrosman | hubert | 10 | 3 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | ['pl'] | ['mozilla-foundation/common_voice_7_0'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['automatic-speech-recognition', 'pl'] | false | true | true | 450 | false | # exp_w2v2t_pl_hubert_s6
Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (pl)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is ... | ef8606c705af0810ca842d0002e55208 |
Helsinki-NLP/opus-mt-es-sg | Helsinki-NLP | marian | 10 | 15 | 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-es-sg
* source languages: es
* target languages: sg
* OPUS readme: [es-sg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-sg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](http... | 6e8278b7ec9eb955d85225ac0e3e3924 |
google/t5-efficient-xl-nl6 | google | t5 | 12 | 7 | transformers | 0 | text2text-generation | true | true | true | apache-2.0 | ['en'] | ['c4'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['deep-narrow'] | false | true | true | 6,242 | false |
# T5-Efficient-XL-NL6 (Deep-Narrow version)
T5-Efficient-XL-NL6 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architecture](https://huggingface.co/docs/transformers/model_doc/t5).
It is a *pretrained-only* checkpoint and wa... | ad8cda3dde6aecce758d009b37a0137b |
thangcv/distilbert-base-uncased-finetuned-emotion | thangcv | distilbert | 12 | 1 | 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 | 1,343 | false |
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# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | 9b85d62088c7affa7cf85e10aa90fba6 |
bigmorning/bigmorning_whisper | bigmorning | whisper | 11 | 6 | transformers | 0 | automatic-speech-recognition | false | true | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_keras_callback'] | true | true | true | 999 | false |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# bigmorning_whisper
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unkno... | a9a82ef3181cd3c668593918ef489b73 |
bugdaryan/distilbert-base-uncased-finetuned-squad | bugdaryan | distilbert | 14 | 3 | transformers | 0 | question-answering | true | false | false | apache-2.0 | null | ['squad_v2'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 931 | 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... | 227e3d5fefb808faa3f333ee46cba6de |
theojolliffe/bart-large-cnn-pubmed1o3-pubmed2o3-pubmed3o3-arxiv1o3-arxiv2o3 | theojolliffe | bart | 13 | 1 | transformers | 0 | text2text-generation | true | false | false | mit | null | ['scientific_papers'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,592 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-large-cnn-pubmed1o3-pubmed2o3-pubmed3o3-arxiv1o3-arxiv2o3
This model is a fine-tuned version of [theojolliffe/bart-large-cn... | bb38c1ff76c7fa24fd4932eef4875bc0 |
lingwave-admin/state-op-detector | lingwave-admin | distilbert | 9 | 3 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['classification'] | false | true | true | 2,934 | false |
# State Social Operator Detector
## Overview
State-funded social media operators are a hard-to-detect but significant threat to any democracy with free speech, and that threat is growing. In recent years, the extent of these state-funded campaigns has become clear. Russian campaigns undertaken to influence [elections... | 7897b4fff18930613f3ef248c7d264e4 |
pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP | pszemraj | longt5 | 15 | 30 | transformers | 0 | summarization | true | false | false | apache-2.0 | null | ['kmfoda/booksum'] | null | 8 | 0 | 6 | 2 | 1 | 1 | 0 | ['summarization', 'summary', 'booksum', 'long-document', 'long-form'] | true | true | true | 1,309 | false |
# long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP
> NOTE: this is still a work-in-progress (WIP) and not completed/converged by any means, but sharing to maybe save some time for others :)
## Updates
_As I update this WIP checkpoint, I will post a note here._
- July 26, 2022: add two more epochs of training, me... | 561318decea1c0441ae42c2de6fce6f9 |
kejian/literal-conditional | kejian | null | 2 | 0 | null | 0 | null | false | false | false | apache-2.0 | ['en'] | ['kejian/codeparrot-train-more-filter-3.3b-cleaned'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 5,566 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# literal-conditional
This model was trained from scratch on the kejian/codeparrot-train-more-filter-3.3b-cleaned dataset.
## Mod... | ff1bd84b2aa16b5622256c6c6f336d87 |
kejian/vigor-awr | kejian | gpt2 | 36 | 0 | transformers | 0 | null | true | false | false | apache-2.0 | ['en'] | ['kejian/codeparrot-train-more-filter-3.3b-cleaned'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 4,544 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# vigor-awr
This model was trained from scratch on the kejian/codeparrot-train-more-filter-3.3b-cleaned dataset.
## Model descrip... | 4c3201095882ae7641ffd5da3d9f8580 |
Panos/finetuning-sentiment-model-imdb | Panos | distilbert | 13 | 4 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | ['imdb'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,047 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetuning-sentiment-model-imdb
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilber... | 09631a096dfc8b934d52105a72793f99 |
S1d-dha-nth3/ncert_bio | S1d-dha-nth3 | bert | 10 | 12 | transformers | 0 | fill-mask | true | true | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_keras_callback'] | true | true | true | 2,088 | false |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# S1d-dha-nth3/ncert_bio
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unkno... | 7f42144d4d1bfa1be561965eebe80930 |
Zirk/wav2vec2-base-timit-demo-colab | Zirk | wav2vec2 | 16 | 9 | 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 | 1,067 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-base-timit-demo-colab
This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn](https... | 3076b8304fdc445872b951fac055fe56 |
SiraH/bert-finetuned-squad | SiraH | bert | 12 | 3 | transformers | 0 | question-answering | true | false | false | apache-2.0 | null | ['squad'] | null | 3 | 1 | 2 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 954 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-finetuned-squad
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the squa... | d27f2c4840be689e5f1b470226996257 |
TransQuest/siamesetransquest-da-multilingual | TransQuest | xlm-roberta | 11 | 5 | transformers | 0 | feature-extraction | true | false | false | apache-2.0 | ['multilingual-multilingual'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['Quality Estimation', 'siamesetransquest', 'da'] | false | true | true | 5,245 | false |
# TransQuest: Translation Quality Estimation with Cross-lingual Transformers
The goal of quality estimation (QE) is to evaluate the quality of a translation without having access to a reference translation. High-accuracy QE that can be easily deployed for a number of language pairs is the missing piece in many commer... | 9da5192e6ee8511cd8e580e76e6ace46 |
jonatasgrosman/exp_w2v2t_ja_hubert_s334 | jonatasgrosman | hubert | 10 | 8 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | ['ja'] | ['mozilla-foundation/common_voice_7_0'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['automatic-speech-recognition', 'ja'] | false | true | true | 452 | false | # exp_w2v2t_ja_hubert_s334
Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input i... | 3ebbec27b414e4ea052ae78f57ff7128 |
jayanta/cvt-13-384-in22k-FV-finetuned-memes | jayanta | cvt | 12 | 7 | 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 | 3,230 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# cvt-13-384-in22k-FV-finetuned-memes
This model is a fine-tuned version of [microsoft/cvt-13-384-22k](https://huggingface.co/micr... | b67a1037ca8493a8af39e1b95d46347d |
DrishtiSharma/wav2vec2-large-xls-r-300m-sl-with-LM-v2 | DrishtiSharma | wav2vec2 | 19 | 0 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | ['sl'] | ['mozilla-foundation/common_voice_8_0'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['automatic-speech-recognition', 'generated_from_trainer', 'hf-asr-leaderboard', 'model_for_talk', 'mozilla-foundation/common_voice_8_0', 'robust-speech-event', 'sl'] | true | true | true | 2,552 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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#
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on th... | 21c952e9f6823f5af4095bf7d30e04c8 |
ScyKindness/Hatsune_Miku | ScyKindness | gpt2 | 9 | 4 | transformers | 0 | conversational | true | true | true | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['conversational'] | false | true | true | 2,309 | false |
## A State-of-the-Art Large-scale Pretrained Response generation model (DialoGPT)
DialoGPT is a SOTA large-scale pretrained dialogue response generation model for multiturn conversations.
The [human evaluation results](https://github.com/dreasysnail/Dialogpt_dev#human-evaluation) indicate that the response generated... | 7094ab3bad3e7ef044f127da58a3b265 |
Hate-speech-CNERG/hindi-codemixed-abusive-MuRIL | Hate-speech-CNERG | bert | 7 | 1 | transformers | 0 | text-classification | true | false | false | afl-3.0 | ['hi-en'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 941 | false |
This model is used detecting **abusive speech** in **Code-Mixed Hindi**. It is finetuned on MuRIL model using code-mixed hindi abusive speech dataset.
The model is trained with learning rates of 2e-5. Training code can be found at this [url](https://github.com/hate-alert/IndicAbusive)
LABEL_0 :-> Normal
LABEL_1 :-> ... | f850008bf982fa9387678b0b57b74cf3 |
sd-concepts-library/leica | sd-concepts-library | null | 9 | 0 | null | 3 | null | false | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 978 | false | ### leica on Stable Diffusion
This is the `<leica>` 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/diffusers/stable_conceptualizer_inference.ipynb) notebook. You can also train ... | 6195d463a2416cbc1528e016cfd39d48 |
muhtasham/tiny-mlm-glue-wnli-target-glue-stsb | muhtasham | bert | 10 | 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 | 1,962 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tiny-mlm-glue-wnli-target-glue-stsb
This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-wnli](https://huggingface.co/... | 065d485b97305981358adab6d7c09fab |
espnet/bengali_blstm | espnet | null | 22 | 0 | espnet | 0 | automatic-speech-recognition | false | false | false | cc-by-4.0 | ['noinfo'] | ['bn_openslr53'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['espnet', 'audio', 'automatic-speech-recognition'] | false | true | true | 13,360 | false |
## ESPnet2 ASR model
### `espnet/bengali_blstm`
This model was trained by dzeinali using bn_openslr53 recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ESPnet2
```bash
cd espnet
git checkout 716eb8f92e19708acfd08ba3bd39d40890d3a84b
pip install -e .
cd egs2/bn_openslr53/asr1
./run.sh -... | a4794fa46c0afc1cb6bf78ea21694026 |
shripadbhat/whisper-large-v2-tt | shripadbhat | whisper | 15 | 0 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | ['tt'] | ['mozilla-foundation/common_voice_11_0'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['whisper-event', 'generated_from_trainer'] | true | true | true | 1,008 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Large v2 Tatar
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-lar... | 3e6e17bf76b6b99e830517e337fcc1dd |
anas-awadalla/gpt2-span-head-few-shot-k-64-finetuned-squad-seed-0 | anas-awadalla | gpt2 | 20 | 3 | transformers | 0 | question-answering | true | false | false | mit | null | ['squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 968 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gpt2-span-head-few-shot-k-64-finetuned-squad-seed-0
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on... | 02ea580c5a0a47ca35e8f4aff9a2443e |
rayendito/mt5-small-finetuned-xl-sum-indonesia | rayendito | mt5 | 12 | 3 | transformers | 0 | summarization | true | false | false | apache-2.0 | null | ['xl_sum'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['summarization', 'generated_from_trainer'] | true | true | true | 912 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mt5-small-finetuned-xl-sum-indonesia
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-... | ccbc1317855e2846e44633cd8d5d55e3 |
muhtasham/tiny-mlm-glue-cola-target-glue-qnli | muhtasham | bert | 10 | 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 | 1,806 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tiny-mlm-glue-cola-target-glue-qnli
This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-cola](https://huggingface.co/... | 90feab92a8a7356acdbe64c5dd90dffe |
ZakaryaRouzki/t5-punctuation | ZakaryaRouzki | t5 | 9 | 11 | transformers | 1 | text2text-generation | true | false | false | apache-2.0 | ['fr'] | ['orange_sum', 'mlsum'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['t5', 'french', 'punctuation'] | false | true | true | 1,603 | false |
# 🚀 Text Punctuator Based on Transformers model T5.
T5 model fine-tuned for punctuation restoration.
Model currently supports only French Language. More language supports will be added later using mT5.
Train Datasets :
Model trained using 2 french datasets (around 500k records):
- [orange_sum](https://huggingface.... | 4444649a6bb4ff2fed298a6d6e9290b7 |
jonatasgrosman/exp_w2v2t_th_xls-r_s625 | 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 | 453 | false | # exp_w2v2t_th_xls-r_s625
Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) 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 speech input ... | b0f491eec05ba8fa49225d6df593e9cc |
jianleo/lora_ruhua_sd_1k | jianleo | null | 11 | 0 | diffusers | 0 | text-to-image | false | false | false | creativeml-openrail-m | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['stable-diffusion', 'stable-diffusion-diffusers', 'text-to-image', 'diffusers', 'lora'] | false | true | true | 457 | false |
# LoRA DreamBooth - jianleo/lora_ruhua_sd_1k
These are LoRA adaption weights for /root/autodl-tmp/sd_weights/models--runwayml--stable-diffusion-v1-5/snapshots/889b629140e71758e1e0006e355c331a5744b4bf. The weights were trained on a photo of rha woman using [DreamBooth](https://dreambooth.github.io/). You can find ... | 2eeb93e418686321eb84553e87ae31f8 |
MultiBertGunjanPatrick/multiberts-seed-0-140k | MultiBertGunjanPatrick | bert | 7 | 3 | transformers | 0 | null | true | false | false | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['exbert', 'multiberts', 'multiberts-seed-0'] | false | true | true | 6,483 | false | # MultiBERTs Seed 0 Checkpoint 140k (uncased)
Seed 0 intermediate checkpoint 140k 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... | dffad5e605a7a72be0416f877f3862e0 |
thkkvui/xlm-roberta-base-finetuned-panx-en | thkkvui | xlm-roberta | 10 | 3 | transformers | 0 | token-classification | true | false | false | mit | null | ['xtreme'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,325 | 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. -->
# xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | c292815ec404d2589201bd477d849eab |
stanfordnlp/stanza-wo | stanfordnlp | null | 9 | 9 | stanza | 0 | token-classification | false | false | false | apache-2.0 | ['wo'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['stanza', 'token-classification'] | false | true | true | 578 | false | # Stanza model for Wolof (wo)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](http... | 1d973a2c48f8d6fc0084ee7319bb3ff6 |
Helsinki-NLP/opus-mt-eo-it | Helsinki-NLP | marian | 11 | 20 | transformers | 0 | translation | true | true | false | apache-2.0 | ['eo', 'it'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['translation'] | false | true | true | 1,999 | false |
### epo-ita
* source group: Esperanto
* target group: Italian
* OPUS readme: [epo-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ita/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): ita
* model: transformer-align
* pre-processing: normalization ... | 3a88e8c784e77f5bdbaaf16f6199897f |
turkish-nlp-suite/tr_core_news_lg | turkish-nlp-suite | null | 26 | 10 | spacy | 0 | token-classification | false | false | false | cc-by-sa-4.0 | ['tr'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['spacy', 'token-classification'] | false | true | true | 117,734 | false | Turkish large sized pipeline for TrSpaCy. Components: tok2vec, tagger, morphologizer, lemmatizer, parser, ner
| Feature | Description |
| --- | --- |
| **Name** | `tr_core_news_lg` |
| **Version** | `3.4.2` |
| **spaCy** | `>=3.4.2,<3.5.0` |
| **Default Pipeline** | `tok2vec`, `tagger`, `morphologizer`, `trainable_lem... | c1a054076c216749166a22ef5fc634f6 |
amitkayal/ak-vit-base-patch16-224-in21k-image_classification | amitkayal | vit | 10 | 13 | transformers | 0 | image-classification | true | false | false | apache-2.0 | null | ['image_folder'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,484 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ak-vit-base-patch16-224-in21k-image_classification
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](htt... | f4dc94f46d6fb56c8feb4a2f3bb9ade2 |
stanfordnlp/stanza-pt | stanfordnlp | null | 17 | 235 | stanza | 2 | token-classification | false | false | false | apache-2.0 | ['pt'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['stanza', 'token-classification'] | false | true | true | 583 | false | # Stanza model for Portuguese (pt)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website]... | c63f81a593ea165de93934e8e48503ef |
plasmo/naturitize-sd1-5-768px | plasmo | null | 22 | 109 | diffusers | 4 | text-to-image | false | false | false | creativeml-openrail-m | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['text-to-image'] | false | true | true | 608 | false | ### Jak's **Naturitize** Image Pack (SD 1.5) for Stable Diffusion
--------------------
Another Jak Texture Pack Release is here to help create your earthy, creations!
Trained using 112 (768px) training images, 8000 training steps, 500 Text_Encoder_steps.
Use Prompt: "**naturitize**" in the beginning of your pro... | 2c709d6655de9bbfadd28047b0e08144 |
tomekkorbak/hungry_carson | tomekkorbak | gpt2 | 137 | 0 | transformers | 0 | null | true | 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 | 8,582 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# hungry_carson
This model was trained from scratch on the tomekkorbak/pii-pile-chunk3-0-50000, the tomekkorbak/pii-pile-chunk3-50... | d88366d9240940415d92a537f73d6113 |
Langboat/mengzi-oscar-base-retrieval | Langboat | bert | 7 | 5 | transformers | 3 | fill-mask | true | false | false | apache-2.0 | ['zh'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 1,109 | false | # Mengzi-oscar-base-retrieval (Chinese Image-text retrieval model)
[Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese](https://arxiv.org/abs/2110.06696)
Mengzi-oscar-base-retrieval is fine-tuned based on Chinese multi-modal pre-training model [Mengzi-Oscar](https://github.com/Langboat/Mengzi/bl... | 8157b70c37c86a4f79f9b307db8c625e |
edwardjross/xlm-roberta-base-finetuned-panx-it | edwardjross | xlm-roberta | 10 | 8 | transformers | 0 | token-classification | true | false | false | mit | null | ['xtreme'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,313 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# xlm-roberta-base-finetuned-panx-it
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | 8e8b56822c0a83fac72ea4842447c313 |
malteos/gpt2-wechsel-german-ds-meg | malteos | gpt2 | 9 | 118 | transformers | 0 | text-generation | true | false | false | mit | ['de'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 649 | false |
# Replication of [gpt2-wechsel-german](https://huggingface.co/benjamin/gpt2-wechsel-german)
- trained with [BigScience's DeepSpeed-Megatron-LM code base](https://github.com/bigscience-workshop/Megatron-DeepSpeed)
- 22hrs on 4xA100 GPUs (~ 80 TFLOPs / GPU)
- stopped after 100k steps
- less than a single epoch on `osca... | e37c0ccfa7f47b8290b4b3ad54262347 |
espnet/aishell2_att_ctc_espnet2 | espnet | null | 33 | 8 | espnet | 0 | automatic-speech-recognition | false | false | false | cc-by-4.0 | ['zh'] | ['aishell2'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['espnet', 'audio', 'automatic-speech-recognition'] | false | true | true | 28,764 | false |
## ESPnet2 ASR model
### `espnet/aishell2_att_ctc_espnet2`
This model was trained by jctian98 using aishell2 recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ESPnet2
```bash
cd espnet
git checkout 04803559d6dcde718638cfbd98139a9ddad1da72
pip install -e .
cd egs2/aishell2/asr1
./run.s... | 871e20ffe1396da50bb776ef372c26e6 |
jhakaran1/bert-trainer | jhakaran1 | bert | 8 | 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 | 1,314 | false |
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# bert-trainer
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset... | fb506adb7aae73b68ab1af4c761cfecd |
htermotto/distilbert-base-uncased-finetuned-sngp-squad-seed-42 | htermotto | distilbert | 20 | 2 | transformers | 0 | null | true | false | false | apache-2.0 | null | ['squad_v2'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,248 | 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-sngp-squad-seed-42
This model is a fine-tuned version of [distilbert-base-uncased](https://hug... | c04c287a676728d855325fcd3667ee06 |
tensorspeech/tts-fastspeech2-kss-ko | tensorspeech | null | 5 | 0 | tensorflowtts | 1 | text-to-speech | false | false | false | apache-2.0 | ['ko'] | ['KSS'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['tensorflowtts', 'audio', 'text-to-speech', 'text-to-mel'] | false | true | true | 2,047 | false |
# FastSpeech2 trained on KSS (Korean)
This repository provides a pretrained [FastSpeech2](https://arxiv.org/abs/2006.04558) trained on KSS dataset (Ko). For a detail of the model, we encourage you to read more about
[TensorFlowTTS](https://github.com/TensorSpeech/TensorFlowTTS).
## Install TensorFlowTTS
First of al... | a447cd51885d7c6dcf1933a7f2bee9b2 |
muhtasham/small-mlm-glue-sst2-target-glue-mrpc | muhtasham | bert | 10 | 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 | 1,935 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# small-mlm-glue-sst2-target-glue-mrpc
This model is a fine-tuned version of [muhtasham/small-mlm-glue-sst2](https://huggingface.c... | d18aec38e1f175e943634bc2a831035d |
mlstudent/finetuning-sentiment-model-3000-samples | mlstudent | distilbert | 20 | 11 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | ['imdb'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,054 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | b2953d020620680a5fef6043140e67ee |
venetis/hf_train_output | venetis | vit | 9 | 0 | transformers | 0 | image-classification | true | false | false | apache-2.0 | null | ['rock-glacier-dataset'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 6,859 | false |
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# hf_train_output
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base... | 15175f3f6e5ebe45fe024d8ff40fa8a8 |
sd-concepts-library/ohisashiburi-style | sd-concepts-library | null | 9 | 0 | null | 1 | null | false | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | true | true | 1,113 | false | ### ohisashiburi-style on Stable Diffusion
This is the `<ohishashiburi-style>` 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/diffusers/stable_conceptualizer_inference.ipynb) no... | a1b1c531c2be6b824684bd2a6ac09ec1 |
tiennvcs/layoutlmv2-base-uncased-finetuned-docvqa | tiennvcs | layoutlmv2 | 15 | 525 | transformers | 3 | document-question-answering | true | false | false | cc-by-sa-4.0 | null | null | null | 0 | 0 | 0 | 0 | 1 | 0 | 1 | ['generated_from_trainer'] | true | true | true | 1,507 | false |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# layoutlmv2-base-uncased-finetuned-docvqa
This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggi... | e45abe4f410ae5756d1dff717fd54b7a |
Dagar/t5-small-science-papers | Dagar | t5 | 11 | 5 | transformers | 1 | text2text-generation | true | false | false | apache-2.0 | null | ['scientific_papers'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,840 | 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. -->
# t5-small-science-papers
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the scientific_pape... | f1d455d6892fd2b4cd8457efcb2fce8b |
deepset/gbert-base | deepset | null | 8 | 38,318 | transformers | 21 | fill-mask | true | true | false | mit | ['de'] | ['wikipedia', 'OPUS', 'OpenLegalData'] | null | 0 | 0 | 0 | 0 | 2 | 2 | 0 | [] | false | true | true | 1,804 | false |
# German BERT base
Released, Oct 2020, this is a German BERT language model trained collaboratively by the makers of the original German BERT (aka "bert-base-german-cased") and the dbmdz BERT (aka bert-base-german-dbmdz-cased). In our [paper](https://arxiv.org/pdf/2010.10906.pdf), we outline the steps taken to train ... | f37d2e27e24d21cf078eed3e3f9478f1 |
jdeboever/xlm-roberta-base-finetuned-panx-de | jdeboever | xlm-roberta | 14 | 25 | transformers | 0 | token-classification | true | false | false | mit | null | ['xtreme'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['generated_from_trainer'] | true | true | true | 1,314 | 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... | ce31ce6298f038c5e8e68376d9261bbc |
muhtasham/tiny-mlm-glue-qnli-target-glue-stsb | muhtasham | bert | 10 | 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 | 1,738 | 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. -->
# tiny-mlm-glue-qnli-target-glue-stsb
This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-qnli](https://huggingface.co/... | 62a2db2ddda8e9c2ec4867d7712ed32f |
KETI-AIR/ke-t5-large | KETI-AIR | t5 | 9 | 2,078 | transformers | 3 | text2text-generation | true | true | true | apache-2.0 | ['en', 'ko'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['t5'] | false | true | true | 2,373 | false |
# 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.kr/article/CFKO202130060717834.pdf) for more details.
## How to use
```python
from transformers import AutoModel,... | 0e8ba1f61686636d6df6b5864acc2d64 |
alla1101/distilbert-base-uncased-finetuned-emotion | alla1101 | distilbert | 12 | 4 | 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 | 1,343 | 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... | a355f14051f873607cc161d552a5caf7 |
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