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values | __index_level_0__ int64 0 38.5k | readme stringlengths 0 186k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
uer/roberta-small-wwm-chinese-cluecorpussmall | f61672c1a9b3b841a1b83313cdf35f33d348dc36 | 2022-07-18T05:43:57.000Z | [
"pytorch",
"bert",
"fill-mask",
"zh",
"dataset:CLUECorpusSmall",
"arxiv:1909.05658",
"arxiv:1908.08962",
"transformers",
"autotrain_compatible"
] | fill-mask | false | uer | null | uer/roberta-small-wwm-chinese-cluecorpussmall | 15 | null | transformers | 9,700 | ---
language: zh
datasets: CLUECorpusSmall
widget:
- text: "εδΊ¬ζ―[MASK]ε½ηι¦ι½γ"
---
# Chinese Whole Word Masking RoBERTa Miniatures
## Model description
This is the set of 6 Chinese Whole Word Masking RoBERTa models pre-trained by [UER-py](https://arxiv.org/abs/1909.05658).
[Turc et al.](https://arxiv.org/abs/1908.0... |
uer/roberta-base-wwm-chinese-cluecorpussmall | 6b014f1b0ba595f776e8c6a7b26da78685304b92 | 2022-07-18T05:50:31.000Z | [
"pytorch",
"bert",
"fill-mask",
"zh",
"dataset:CLUECorpusSmall",
"arxiv:1909.05658",
"arxiv:1908.08962",
"transformers",
"autotrain_compatible"
] | fill-mask | false | uer | null | uer/roberta-base-wwm-chinese-cluecorpussmall | 15 | null | transformers | 9,701 | ---
language: zh
datasets: CLUECorpusSmall
widget:
- text: "εδΊ¬ζ―[MASK]ε½ηι¦ι½γ"
---
# Chinese Whole Word Masking RoBERTa Miniatures
## Model description
This is the set of 6 Chinese Whole Word Masking RoBERTa models pre-trained by [UER-py](https://arxiv.org/abs/1909.05658).
[Turc et al.](https://arxiv.org/abs/1908.0... |
anahitapld/dbd_electra | b9a5333f6a2d64ca551ab2181596d3b274d189fc | 2022-07-18T09:05:12.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers",
"license:apache-2.0"
] | text-classification | false | anahitapld | null | anahitapld/dbd_electra | 15 | null | transformers | 9,702 | ---
license: apache-2.0
---
|
anahitapld/dbd_Roberta | 7418bc8d2412875b72045d42a2da3ad5a299e968 | 2022-07-18T09:16:48.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"license:apache-2.0"
] | text-classification | false | anahitapld | null | anahitapld/dbd_Roberta | 15 | null | transformers | 9,703 | ---
license: apache-2.0
---
|
translationtech/nllb_distilled | 8bb35f68a86604f3f99ea3bf7667c9017b9fecea | 2022-07-18T15:42:02.000Z | [
"pytorch",
"m2m_100",
"text2text-generation",
"transformers",
"license:cc-by-nc-4.0",
"autotrain_compatible"
] | text2text-generation | false | translationtech | null | translationtech/nllb_distilled | 15 | null | transformers | 9,704 | ---
license: cc-by-nc-4.0
---
|
Evelyn18/roberta-base-spanish-squades-modelo-robertav1 | f984c2c4aa73fc78af3adad55152839e7e6a31f2 | 2022-07-19T18:29:08.000Z | [
"pytorch",
"tensorboard",
"roberta",
"question-answering",
"dataset:becasv2",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | Evelyn18 | null | Evelyn18/roberta-base-spanish-squades-modelo-robertav1 | 15 | null | transformers | 9,705 | ---
tags:
- generated_from_trainer
datasets:
- becasv2
model-index:
- name: roberta-base-spanish-squades-modelo-robertav1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comme... |
cep-ter/fine-tune-MonoTransQuest-fa | 945a4c7dbae58b1f12976f064793790a27abc10b | 2022-07-20T03:20:41.000Z | [
"pytorch",
"xlm-roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | cep-ter | null | cep-ter/fine-tune-MonoTransQuest-fa | 15 | null | transformers | 9,706 | Entry not found |
commanderstrife/bc4chemd_ner-Bio_ClinicalBERT-finetuned-ner | 6a7aa37ee883b3b1a855a5351f4517c9208ba211 | 2022-07-20T12:03:10.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:bc4chemd_ner",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | commanderstrife | null | commanderstrife/bc4chemd_ner-Bio_ClinicalBERT-finetuned-ner | 15 | null | transformers | 9,707 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- bc4chemd_ner
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bc4chemd_ner-Bio_ClinicalBERT-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: bc4chemd_ner
type:... |
jaeyeon/korean-aihub-learning-2 | b5f2690421054e629d81a386d1c129e841816c61 | 2022-07-20T08:31:07.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | jaeyeon | null | jaeyeon/korean-aihub-learning-2 | 15 | null | transformers | 9,708 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: korean-aihub-learning-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# korean-aihu... |
Sameen53/CV_bn_trained_on_Train_0.3 | 6648f4491c3892aea6b1fbf4c3c792923b2c88c5 | 2022-07-30T07:46:54.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | Sameen53 | null | Sameen53/CV_bn_trained_on_Train_0.3 | 15 | null | transformers | 9,709 | ---
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: CV_bn_trained_on_Train_0.3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CV_... |
Professor/wav2vec2-base-960h-finetuned | 168d24dad032f62780ea3009502378b06a87c829 | 2022-07-21T03:00:24.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"audio-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | audio-classification | false | Professor | null | Professor/wav2vec2-base-960h-finetuned | 15 | null | transformers | 9,710 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-960h-finetuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this co... |
Ahmed007/mt5-small-ibn-Shaddad-v4 | c7bec6a31bc0766ca3b54595b1db06e7e5756be3 | 2022-07-21T05:04:38.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"Poet",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | Ahmed007 | null | Ahmed007/mt5-small-ibn-Shaddad-v4 | 15 | null | transformers | 9,711 | ---
license: apache-2.0
tags:
- Poet
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-ibn-Shaddad-v4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this co... |
dl4nlp/distilbert-base-uncased-nq-short-for-square | 1fd46acdc80c7af2688f8a95b8ef82506f6b3aeb | 2022-07-22T20:26:54.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | dl4nlp | null | dl4nlp/distilbert-base-uncased-nq-short-for-square | 15 | null | transformers | 9,712 | Entry not found |
jcashmoney123/autotrain-amazon-summarization-1170943400 | 60d89b59a2ab4ea2f6de0534f378ac6ba5289d99 | 2022-07-23T18:06:12.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"en",
"dataset:jcashmoney123/autotrain-data-amazon-summarization",
"transformers",
"autotrain",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | false | jcashmoney123 | null | jcashmoney123/autotrain-amazon-summarization-1170943400 | 15 | null | transformers | 9,713 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain π€"
datasets:
- jcashmoney123/autotrain-data-amazon-summarization
co2_eq_emissions: 25.718350806012065
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 1170943400
- CO2 Emissions (in grams): 25.718350806012065
## Validati... |
SIMAS-UN/blaming_vulnerability | 59e219e164dc36f6b8965dc9e98a8859fee5e298 | 2022-07-24T04:07:32.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | SIMAS-UN | null | SIMAS-UN/blaming_vulnerability | 15 | null | transformers | 9,714 | Entry not found |
ccdv/lsg-xlm-roberta-base-4096 | 90fb5adb207bd5d0d7e54bcffc7e2f4eb3bfe895 | 2022-07-26T20:14:38.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"en",
"arxiv:2105.00572",
"transformers",
"long context",
"autotrain_compatible"
] | fill-mask | false | ccdv | null | ccdv/lsg-xlm-roberta-base-4096 | 15 | null | transformers | 9,715 | ---
language: en
tags:
- xlm-roberta
- long context
pipeline_tag: fill-mask
---
# LSG model
**Transformers >= 4.18.0**\
**This model relies on a custom modeling file, you need to add trust_remote_code=True**\
**See [\#13467](https://github.com/huggingface/transformers/pull/13467)**
* [Usage](#usage)
* [Parameters](#p... |
MiriUll/distilbert-german-text-complexity | 1a1b02707747331fd5c6ecda8e7e34c85f7b56fa | 2022-07-25T13:55:29.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | MiriUll | null | MiriUll/distilbert-german-text-complexity | 15 | null | transformers | 9,716 | language: de
This is a version of "distilbert-base-german-cased" fine-tuned for text complexity prediction on a scale between 1 and 7. |
mmillet/distilrubert-tiny-cased-conversational-v1_single_finetuned_empathy_classifier | 683570f63b6c53eccc0098e6900cf9657a9a090f | 2022-07-25T15:10:08.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | mmillet | null | mmillet/distilrubert-tiny-cased-conversational-v1_single_finetuned_empathy_classifier | 15 | null | transformers | 9,717 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilrubert-tiny-cased-conversational-v1_single_finetuned_empathy_classifier
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should ... |
Evelyn18/roberta-base-spanish-squades-becasIncentivos4 | 9f9262320dd011230216dcceafb80edac51eefac | 2022-07-27T16:52:12.000Z | [
"pytorch",
"tensorboard",
"roberta",
"question-answering",
"dataset:becasv2",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | Evelyn18 | null | Evelyn18/roberta-base-spanish-squades-becasIncentivos4 | 15 | null | transformers | 9,718 | ---
tags:
- generated_from_trainer
datasets:
- becasv2
model-index:
- name: roberta-base-spanish-squades-becasIncentivos4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comme... |
anzorq/kbd_lat-ru_char_tokenizer | 36b7ccef5d7de91dbe5b202da358f33763f1fd23 | 2022-07-30T04:19:54.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | anzorq | null | anzorq/kbd_lat-ru_char_tokenizer | 15 | null | transformers | 9,719 | Entry not found |
Aastha/wav2vec2-large-xls-r-1b-hi | 8f2124b031a266b4f410f1e3d77f1203a82d349b | 2022-02-05T03:46:42.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | Aastha | null | Aastha/wav2vec2-large-xls-r-1b-hi | 14 | null | transformers | 9,720 | Entry not found |
Alexander-Learn/bert-finetuned-ner | e689b6a614c2578786bc150d878f082caedcb6c7 | 2022-01-28T08:29:45.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Alexander-Learn | null | Alexander-Learn/bert-finetuned-ner | 14 | null | transformers | 9,721 | Entry not found |
ArBert/roberta-base-finetuned-ner-kmeans | d3cd105407f27522a59504f2c5a2c7f4262379b5 | 2022-02-12T16:54:18.000Z | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | ArBert | null | ArBert/roberta-base-finetuned-ner-kmeans | 14 | null | transformers | 9,722 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
model-index:
- name: roberta-base-finetuned-ner-kmeans
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: conl... |
BSC-TeMU/roberta-large-bne-capitel-ner | ee42a198b1b798b7bfc3a617e2e24d0d568b07bf | 2021-10-21T10:31:30.000Z | [
"pytorch",
"roberta",
"token-classification",
"es",
"dataset:bne",
"dataset:capitel",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"capitel",
"ner",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | BSC-TeMU | null | BSC-TeMU/roberta-large-bne-capitel-ner | 14 | null | transformers | 9,723 | ---
language:
- es
license: apache-2.0
tags:
- "national library of spain"
- "spanish"
- "bne"
- "capitel"
- "ner"
datasets:
- "bne"
- "capitel"
metrics:
- "f1"
---
**β οΈNOTICEβ οΈ: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne-capitel... |
Barkavi/totto-t5-base-bert-score-121K | 8b2149134039af9c40680a9e0eef55431300c14b | 2022-06-23T09:27:54.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Barkavi | null | Barkavi/totto-t5-base-bert-score-121K | 14 | null | transformers | 9,724 | **Dataset**
ToTTo is an open-domain English Table-to-Text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table, a set of highlighted table cells, page title and section title as inputs, it produces a one-sentence description summarising the key details from th... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-egy | 7f7956b74338213d5f8f8b68216bd4b3a4fbd56c | 2021-10-18T10:15:57.000Z | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | CAMeL-Lab | null | CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-egy | 14 | null | transformers | 9,725 | ---
language:
- ar
license: apache-2.0
widget:
- text: 'ΨΉΨ§Ω
Ω Ψ§ΩΩ Ψ'
---
# CAMeLBERT-Mix POS-EGY Model
## Model description
**CAMeLBERT-Mix POS-EGY Model** is a Egyptian Arabic POS tagging model that was built by fine-tuning the [CAMeLBERT-Mix](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-mix/) model.
F... |
Davlan/mT5_base_yoruba_adr | 9a6c4a7ba523ea0c6f6e5acc67592b454204e384 | 2021-04-20T21:16:26.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"yo",
"dataset:JW300 + [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt)",
"arxiv:2003.10564",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Davlan | null | Davlan/mT5_base_yoruba_adr | 14 | null | transformers | 9,726 | Hugging Face's logo
---
language: yo
datasets:
- JW300 + [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt)
---
# mT5_base_yoruba_adr
## Model description
**mT5_base_yoruba_adr** is a **automatic diacritics restoration** model for YorΓΉbΓ‘ language based on a fine-tuned mT5-base model. It achieves the **state-of... |
EasthShin/Emotion-Classification-bert-base | f010408833eb76cc3c12373c5aaadc241bddc8bd | 2021-07-26T09:36:10.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | EasthShin | null | EasthShin/Emotion-Classification-bert-base | 14 | null | transformers | 9,727 | Entry not found |
Edresson/wav2vec2-large-100k-voxpopuli-ft-TTS-Dataset-plus-data-augmentation-russian | 84a5dc0cd8e013c41c738fd457e54f3f7bc815a4 | 2022-07-17T17:38:46.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"pt",
"dataset:Common Voice",
"arxiv:2204.00618",
"transformers",
"audio",
"speech",
"Russian-speech-corpus",
"PyTorch",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Edresson | null | Edresson/wav2vec2-large-100k-voxpopuli-ft-TTS-Dataset-plus-data-augmentation-russian | 14 | 2 | transformers | 9,728 | ---
language: pt
datasets:
- Common Voice
metrics:
- wer
tags:
- audio
- speech
- wav2vec2
- pt
- Russian-speech-corpus
- automatic-speech-recognition
- speech
- PyTorch
license: apache-2.0
model-index:
- name: Edresson Casanova Wav2vec2 Large 100k Voxpopuli fine-tuned with a single-speaker dataset plus Data Augmentat... |
GermanT5/german-t5-oscar-ep1-prompted-germanquad | 5176afcca863ecca7862a17eaee4415f1b6ab44d | 2022-01-25T09:03:14.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | GermanT5 | null | GermanT5/german-t5-oscar-ep1-prompted-germanquad | 14 | null | transformers | 9,729 | ---
tags:
- generated_from_trainer
widget:
- text: |
Philipp ist 26 Jahre alt und lebt in NΓΌrnberg, Deutschland. Derzeit arbeitet er als Machine Learning Engineer und Tech Lead bei Hugging Face, um kΓΌnstliche Intelligenz durch Open Source und Open Science zu demokratisieren.
Welches Ziel hat Hugging Fa... |
GroNLP/bert-base-dutch-cased-frisian | 84b8d9d28470f188a14ba2d58efaac361a8b8c8d | 2021-05-18T20:20:35.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"fy",
"arxiv:2105.02855",
"transformers",
"BERTje",
"autotrain_compatible"
] | fill-mask | false | GroNLP | null | GroNLP/bert-base-dutch-cased-frisian | 14 | 1 | transformers | 9,730 | ---
language: fy
tags:
- BERTje
---
Wietse de Vries β’ Martijn Bartelds β’ Malvina Nissim β’ Martijn Wieling
# Adapting Monolingual Models: Data can be Scarce when Language Similarity is High
This model is part of this paper + code:
- π [Paper](https://arxiv.org/abs/2105.02855)
- π» [Code](https://github.com/wietsedv... |
Hate-speech-CNERG/deoffxlmr-mono-malyalam | d88bde766cbfe7fffe40a13abf19ce69f27dd885 | 2021-09-25T14:01:42.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"ml",
"transformers",
"license:apache-2.0"
] | text-classification | false | Hate-speech-CNERG | null | Hate-speech-CNERG/deoffxlmr-mono-malyalam | 14 | null | transformers | 9,731 | ---
language: ml
license: apache-2.0
---
This model is used to detect **Offensive Content** in **Malayalam Code-Mixed language**. The mono in the name refers to the monolingual setting, where the model is trained using only Malayalam(pure and code-mixed) data. The weights are initialized from pretrained XLM-Roberta-Bas... |
Helsinki-NLP/opus-mt-bem-fi | 61e1a5e55e425e7319da8807f50a3c9db95f10d3 | 2021-09-09T21:27:10.000Z | [
"pytorch",
"marian",
"text2text-generation",
"bem",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-bem-fi | 14 | null | transformers | 9,732 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-bem-fi
* source languages: bem
* target languages: fi
* OPUS readme: [bem-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bem-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-ber-en | 14e47c430cec91689c36c2ff3170353ab9ed9d1d | 2021-09-09T21:27:21.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ber",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ber-en | 14 | null | transformers | 9,733 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ber-en
* source languages: ber
* target languages: en
* OPUS readme: [ber-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ber-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-bzs-es | b03449222edb29b8497af1df03c30782995912f5 | 2021-09-09T21:28:02.000Z | [
"pytorch",
"marian",
"text2text-generation",
"bzs",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-bzs-es | 14 | null | transformers | 9,734 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-bzs-es
* source languages: bzs
* target languages: es
* OPUS readme: [bzs-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bzs-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-da-ru | 133f5847df6d5e352d37d86416db133636851c7a | 2021-01-18T07:57:17.000Z | [
"pytorch",
"marian",
"text2text-generation",
"da",
"ru",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-da-ru | 14 | null | transformers | 9,735 | ---
language:
- da
- ru
tags:
- translation
license: apache-2.0
---
### dan-rus
* source group: Danish
* target group: Russian
* OPUS readme: [dan-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-rus/README.md)
* model: transformer-align
* source language(s): dan
* target language... |
Helsinki-NLP/opus-mt-de-ca | e335cb19fc68854e5f55ad84f1ade5c38567b10b | 2021-01-18T07:58:09.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"ca",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-ca | 14 | null | transformers | 9,736 | ---
language:
- de
- ca
tags:
- translation
license: apache-2.0
---
### 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... |
Helsinki-NLP/opus-mt-de-da | bccfbee95d55ba1333fd447f67574453eba5d948 | 2021-09-09T21:30:32.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"da",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-da | 14 | null | transformers | 9,737 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-da
* source languages: de
* target languages: da
* OPUS readme: [de-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-da/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-el-fi | aef52d8c3cc2129847cf9ea84c62a5e7b9bb41bc | 2021-09-09T21:33:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"el",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-el-fi | 14 | null | transformers | 9,738 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-el-fi
* source languages: el
* target languages: fi
* OPUS readme: [el-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/el-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-CELTIC | 69fe75e42d848a1b30f968800ff94783e3ed8fe2 | 2021-09-09T21:33:58.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"cel",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-CELTIC | 14 | null | transformers | 9,739 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-INSULAR_CELTIC
* source languages: en
* target languages: ga,cy,br,gd,kw,gv
* OPUS readme: [en-ga+cy+br+gd+kw+gv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ga+cy+br+gd+kw+gv/README.md)
* dataset: opus+techiaith+bt
* model: tra... |
Helsinki-NLP/opus-mt-en-lu | 46019cac051a37cc5b65765c14f26ce600a1709b | 2021-09-09T21:37:04.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"lu",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-lu | 14 | null | transformers | 9,740 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-lu
* source languages: en
* target languages: lu
* OPUS readme: [en-lu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-pag | 051bcacbbb35a4418e46906d02716606f59a7c91 | 2021-09-09T21:38:25.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"pag",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-pag | 14 | null | transformers | 9,741 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-pag
* source languages: en
* target languages: pag
* OPUS readme: [en-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pag/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-es-da | 661ce74f5258d3bf2f848527d55e3dc33c5793dc | 2021-09-09T21:41:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"da",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-da | 14 | null | transformers | 9,742 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-da
* source languages: es
* target languages: da
* OPUS readme: [es-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-da/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-es-ee | 42f028f43c4aad6eed8ffd96ce928b8badc2014c | 2021-09-09T21:41:57.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"ee",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-ee | 14 | null | transformers | 9,743 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-ee
* source languages: es
* target languages: ee
* OPUS readme: [es-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ee/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-es-eu | f1b18888a188e4eb000c074075dc6ade3f33072a | 2021-01-18T08:23:58.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"eu",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-eu | 14 | 1 | transformers | 9,744 | ---
language:
- es
- eu
tags:
- translation
license: apache-2.0
---
### spa-eus
* source group: Spanish
* target group: Basque
* OPUS readme: [spa-eus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eus/README.md)
* model: transformer-align
* source language(s): spa
* target language... |
Helsinki-NLP/opus-mt-es-srn | 3ba24c7ae9f834b1696f7b7a0f53ddc79d583ce4 | 2021-09-09T21:44:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"srn",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-srn | 14 | null | transformers | 9,745 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-srn
* source languages: es
* target languages: srn
* OPUS readme: [es-srn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-srn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-es-tzo | 2fd911169180598677e1b5f42438cc847e145799 | 2021-09-09T21:45:27.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"tzo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-tzo | 14 | null | transformers | 9,746 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-tzo
* source languages: es
* target languages: tzo
* OPUS readme: [es-tzo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tzo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-fi-bzs | d5b30084df6c669c73224be1ca0f4116c6bdd9b0 | 2021-09-09T21:46:45.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"bzs",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-bzs | 14 | null | transformers | 9,747 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-bzs
* source languages: fi
* target languages: bzs
* OPUS readme: [fi-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bzs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-fi-el | 214d53d289e8e90c6b8f65a5813460df95778c31 | 2021-09-09T21:47:21.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"el",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-el | 14 | null | transformers | 9,748 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-el
* source languages: fi
* target languages: el
* OPUS readme: [fi-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-el/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fi-is | 321972a9ee7a0fb0af9687d5cd5422d7565ae101 | 2021-09-09T21:48:40.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"is",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-is | 14 | null | transformers | 9,749 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-is
* source languages: fi
* target languages: is
* OPUS readme: [fi-is](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-is/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fr-ee | 40ac7fa7a28e1d4a8b07bed9703e0f7911a027e7 | 2021-09-09T21:53:27.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"ee",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-ee | 14 | null | transformers | 9,750 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ee
* source languages: fr
* target languages: ee
* OPUS readme: [fr-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ee/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fr-ha | ea7bb19a61b650a3c06bc96fb0fbed28c905ad49 | 2021-09-09T21:54:06.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"ha",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-ha | 14 | null | transformers | 9,751 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ha
* source languages: fr
* target languages: ha
* OPUS readme: [fr-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ha/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fr-swc | 71d83f817cb7cea1ec60779a48bae15c65632fca | 2021-09-09T21:57:11.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"swc",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-swc | 14 | null | transformers | 9,752 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-swc
* source languages: fr
* target languages: swc
* OPUS readme: [fr-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-swc/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-hu-fi | c46fede8bed71dd3b278d868c078508da856ddd1 | 2021-09-09T22:10:56.000Z | [
"pytorch",
"marian",
"text2text-generation",
"hu",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-hu-fi | 14 | null | transformers | 9,753 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-hu-fi
* source languages: hu
* target languages: fi
* OPUS readme: [hu-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hu-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-iir-iir | f102b809778f107349c12a9ff0ec33cc03dc3cf5 | 2020-08-21T14:42:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"bn",
"or",
"gu",
"mr",
"ur",
"hi",
"ps",
"os",
"as",
"si",
"iir",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-iir-iir | 14 | null | transformers | 9,754 | ---
language:
- bn
- or
- gu
- mr
- ur
- hi
- ps
- os
- as
- si
- iir
tags:
- translation
license: apache-2.0
---
### iir-iir
* source group: Indo-Iranian languages
* target group: Indo-Iranian languages
* OPUS readme: [iir-iir](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/iir-iir/README... |
Helsinki-NLP/opus-mt-is-de | eddbb688bad72d607a739bfd0c67ffff2db219c1 | 2020-08-21T14:42:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"is",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-is-de | 14 | null | transformers | 9,755 | ---
language:
- is
- de
tags:
- translation
license: apache-2.0
---
### isl-deu
* source group: Icelandic
* target group: German
* OPUS readme: [isl-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-deu/README.md)
* model: transformer-align
* source language(s): isl
* target langua... |
Helsinki-NLP/opus-mt-ko-sv | a0ca94665e45cfc246a6cd64c817133d0252e4f4 | 2021-09-10T13:54:05.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ko",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ko-sv | 14 | null | transformers | 9,756 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ko-sv
* source languages: ko
* target languages: sv
* OPUS readme: [ko-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ko-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-ms-ms | 5319301b7bf40f9bb3f1ca6127b30d2482ed9a58 | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ms",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ms-ms | 14 | null | transformers | 9,757 | ---
language:
- ms
tags:
- translation
license: apache-2.0
---
### msa-msa
* source group: Malay (macrolanguage)
* target group: Malay (macrolanguage)
* OPUS readme: [msa-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-msa/README.md)
* model: transformer-align
* source language(s... |
Helsinki-NLP/opus-mt-no-nl | ac00f451982b347686785ac445e2d80acc07df1b | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"no",
"nl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-no-nl | 14 | null | transformers | 9,758 | ---
language:
- no
- nl
tags:
- translation
license: apache-2.0
---
### nor-nld
* source group: Norwegian
* target group: Dutch
* OPUS readme: [nor-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-nld/README.md)
* model: transformer-align
* source language(s): nob
* target languag... |
Helsinki-NLP/opus-mt-nso-es | c7b2c4a81468174a13eb8052a13810d2433bd5a4 | 2021-09-10T13:59:33.000Z | [
"pytorch",
"marian",
"text2text-generation",
"nso",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-nso-es | 14 | null | transformers | 9,759 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-nso-es
* source languages: nso
* target languages: es
* OPUS readme: [nso-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-sk-fi | aaf7099a8ac22d19361eb8120b174410b8298312 | 2021-09-10T14:03:28.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sk",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sk-fi | 14 | null | transformers | 9,760 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sk-fi
* source languages: sk
* target languages: fi
* OPUS readme: [sk-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-sv-sl | c9f797a7e609a8c507ce93c0ffa1ebb3d37d8d97 | 2021-09-10T14:09:20.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"sl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-sl | 14 | null | transformers | 9,761 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-sl
* source languages: sv
* target languages: sl
* OPUS readme: [sv-sl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-sl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-tc-base-gmw-gmw | d688a46d3b297c8509a6f3d449a739d25d7270ee | 2022-06-01T13:10:42.000Z | [
"pytorch",
"marian",
"text2text-generation",
"af",
"de",
"en",
"fy",
"gmw",
"gos",
"hrx",
"lb",
"nds",
"nl",
"pdc",
"yi",
"transformers",
"translation",
"opus-mt-tc",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tc-base-gmw-gmw | 14 | null | transformers | 9,762 | ---
language:
- af
- de
- en
- fy
- gmw
- gos
- hrx
- lb
- nds
- nl
- pdc
- yi
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-base-gmw-gmw
results:
- task:
name: Translation afr-deu
type: translation
args: afr-deu
dataset:
name: flores101-devtest
... |
Helsinki-NLP/opus-mt-ti-en | 610176e10fde21d044d625ba8284095894b92a01 | 2021-09-11T10:48:05.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ti",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ti-en | 14 | null | transformers | 9,763 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ti-en
* source languages: ti
* target languages: en
* OPUS readme: [ti-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ti-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-uk-sv | ccd53b0c75d1dc9367f29121202a0a8df67fae03 | 2021-09-11T10:51:29.000Z | [
"pytorch",
"marian",
"text2text-generation",
"uk",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-uk-sv | 14 | null | transformers | 9,764 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-uk-sv
* source languages: uk
* target languages: sv
* OPUS readme: [uk-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-uk-tr | ed2e1ff5a2fd011e4f337102bc08fea586f5ad0f | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"uk",
"tr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-uk-tr | 14 | null | transformers | 9,765 | ---
language:
- uk
- tr
tags:
- translation
license: apache-2.0
---
### ukr-tur
* source group: Ukrainian
* target group: Turkish
* OPUS readme: [ukr-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-tur/README.md)
* model: transformer-align
* source language(s): ukr
* target langu... |
Helsinki-NLP/opus-mt-yap-en | 2c11ef76f03b654497b05cac46b09c8ba2821307 | 2021-09-11T10:52:34.000Z | [
"pytorch",
"marian",
"text2text-generation",
"yap",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-yap-en | 14 | null | transformers | 9,766 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-yap-en
* source languages: yap
* target languages: en
* OPUS readme: [yap-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yap-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Ilyes/wav2vec2-large-xlsr-53-french_punctuation | 6039d1712c8160c5614feb7b19467e8b52ba426b | 2021-07-05T14:28:11.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"fr",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Ilyes | null | Ilyes/wav2vec2-large-xlsr-53-french_punctuation | 14 | null | transformers | 9,767 | ---
language: fr
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning
license: apache-2.0
model-index:
- name: wav2vec2-large-xlsr-53-French_punctuation by Ilyes Rebai
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
... |
KoichiYasuoka/roberta-small-japanese-aozora | fdb370a3c684145416d8b4fd0ee204b3831ad1fc | 2021-11-03T14:44:50.000Z | [
"pytorch",
"roberta",
"fill-mask",
"ja",
"transformers",
"japanese",
"masked-lm",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | KoichiYasuoka | null | KoichiYasuoka/roberta-small-japanese-aozora | 14 | null | transformers | 9,768 | ---
language:
- "ja"
tags:
- "japanese"
- "masked-lm"
license: "cc-by-sa-4.0"
pipeline_tag: "fill-mask"
mask_token: "[MASK]"
widget:
- text: "ζ₯ζ¬γ«ηγγγ[MASK]γθ¨ͺγγͺγγγ"
---
# roberta-small-japanese-aozora
## Model Description
This is a RoBERTa model pre-trained on ιη©ΊζεΊ« texts with [Japanese-LUW-Tokenizer](https://github.c... |
M47Labs/italian_news_classification_headlines | c41a7de361df020eeb2910d5b948e18d01ba2425 | 2021-09-07T15:09:53.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | M47Labs | null | M47Labs/italian_news_classification_headlines | 14 | null | transformers | 9,769 | Entry not found |
MagicalCat29/model_save_test2 | 25f966a559f8257b47a3a19fd5b03587179aa7b3 | 2022-02-16T14:41:10.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"license:other",
"autotrain_compatible"
] | token-classification | false | MagicalCat29 | null | MagicalCat29/model_save_test2 | 14 | null | transformers | 9,770 | ---
license: other
---
|
Manishl7/xlm-roberta-large-language-detection | b6bd9814bb85ca220d98584a8406cd91e2d954dc | 2021-10-20T05:20:44.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | Manishl7 | null | Manishl7/xlm-roberta-large-language-detection | 14 | 1 | transformers | 9,771 | Language Detection Model for Nepali, English, Hindi and Spanish
Model fine tuned on xlm-roberta-large |
MariamD/my-t5-qa-legal | c91ded2feb2e50c441517f10d24240a3bbeb0953 | 2021-10-17T13:20:41.000Z | [
"pytorch",
"english",
"dataset:legal dataset",
"question-answering"
] | question-answering | false | MariamD | null | MariamD/my-t5-qa-legal | 14 | null | null | 9,772 | ---
language: english
datasets:
- legal dataset
pipeline_tag: question-answering
--- |
MaxVortman/bert-base-ukr-eng-rus-uncased | 3b893995f39011b9b6c4d5df96fccd9dc7e17293 | 2021-07-21T12:05:26.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | MaxVortman | null | MaxVortman/bert-base-ukr-eng-rus-uncased | 14 | null | transformers | 9,773 | This repository shares smaller version of bert-base-multilingual-uncased that keeps only Ukrainian, English, and Russian tokens in the vocabulary.
| Model | Num parameters | Size |
| ----------------------------------------- | -------------- | --------- |
| bert-base-multilingu... |
Media1129/keyword-tag-model-2000 | cf96612e6d1f4079606d6965f2d287c7de7c12a1 | 2021-08-30T04:35:32.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Media1129 | null | Media1129/keyword-tag-model-2000 | 14 | null | transformers | 9,774 | Entry not found |
MickyMike/0-GPT2SP-jirasoftware | 4faf20db8607a6039692efbd376efa53136d14f5 | 2021-08-19T02:01:12.000Z | [
"pytorch",
"gpt2",
"text-classification",
"transformers"
] | text-classification | false | MickyMike | null | MickyMike/0-GPT2SP-jirasoftware | 14 | null | transformers | 9,775 | Entry not found |
Muennighoff/SGPT-1.3B-weightedmean-nli | 72a2b83739fcff05da3190fb49ead86866464bd2 | 2022-02-21T06:15:32.000Z | [
"pytorch",
"gpt_neo",
"feature-extraction",
"arxiv:2202.08904",
"sentence-transformers",
"sentence-similarity"
] | sentence-similarity | false | Muennighoff | null | Muennighoff/SGPT-1.3B-weightedmean-nli | 14 | null | sentence-transformers | 9,776 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# SGPT-1.3B-weightedmean-nli
## Usage
For usage instructions, refer to our codebase: https://github.com/Muennighoff/sgpt
## Evaluation Results
For eval results, refer to our paper: https://arxiv.org/... |
RASMUS/wav2vec2-xlsr-1b-et | a72c8ad9eb48cbda84dcf8566c8cd090c144e997 | 2022-03-24T11:55:09.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"et",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"generated_from_trainer",
"mozilla-foundation/common_voice_8_0",
"audio",
"speech",
"robust-speech-event",
"hf-asr-leaderboard",
"model-index"
] | automatic-speech-recognition | false | RASMUS | null | RASMUS/wav2vec2-xlsr-1b-et | 14 | null | transformers | 9,777 | ---
language: et
datasets:
- mozilla-foundation/common_voice_8_0
metrics:
- wer
- cer
tags:
- generated_from_trainer
- mozilla-foundation/common_voice_8_0
- audio
- automatic-speech-recognition
- speech
- robust-speech-event
- hf-asr-leaderboard
model-index:
- name: XLS-R 1B Wav2Vec2 Estonian by Rasmus Toivanen
resul... |
RJ3vans/CMV1spanTagger | db91a06b31dc86cce3548ba0868404044ba459dd | 2021-09-07T13:26:30.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | RJ3vans | null | RJ3vans/CMV1spanTagger | 14 | null | transformers | 9,778 | This model identifies compound verb phrases (including conjoins and coordinators) in an input sentence.
Try the test sentence:
John kicked the ball [and] chased after it.
The model was derived using code adapted from an original program written by Dr. Le An Ha at the University of Wolverhampton. |
Recognai/selectra_small | e45e0de5d6a68200c4b6894d06e16d7b3ef3ace4 | 2021-10-19T15:28:17.000Z | [
"pytorch",
"electra",
"pretraining",
"es",
"dataset:oscar",
"transformers",
"license:apache-2.0"
] | null | false | Recognai | null | Recognai/selectra_small | 14 | 5 | transformers | 9,779 | ---
language:
- es
thumbnail: "url to a thumbnail used in social sharing"
license: apache-2.0
datasets:
- oscar
---
# SELECTRA: A Spanish ELECTRA
SELECTRA is a Spanish pre-trained language model based on [ELECTRA](https://github.com/google-research/electra).
We release a `small` and `medium` version with the follo... |
Rexhaif/rubert-base-srl | f6fffd572f1ec2765269cab48be3e3be3c3bd3d3 | 2021-11-10T22:17:49.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | Rexhaif | null | Rexhaif/rubert-base-srl | 14 | null | transformers | 9,780 | ---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: rubert-base-srl
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# rubert-base-srl
This mod... |
Rostlab/prot_electra_discriminator_bfd | f62ae0934f54eff38f65ac892c0ea9ac6f2660ac | 2020-12-18T20:10:21.000Z | [
"pytorch",
"electra",
"pretraining",
"transformers"
] | null | false | Rostlab | null | Rostlab/prot_electra_discriminator_bfd | 14 | 1 | transformers | 9,781 | Entry not found |
SEBIS/code_trans_t5_base_code_documentation_generation_python_transfer_learning_finetune | d22b5382c3336b622ec0a67a30eb530b837f0f8d | 2021-06-23T04:48:38.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_base_code_documentation_generation_python_transfer_learning_finetune | 14 | null | transformers | 9,782 | ---
tags:
- summarization
widget:
- text: "def e ( message , exit_code = None ) : print_log ( message , YELLOW , BOLD ) if exit_code is not None : sys . exit ( exit_code )"
---
# CodeTrans model for code documentation generation python
Pretrained model on programming language python using the t5 base model architect... |
SEBIS/code_trans_t5_base_source_code_summarization_csharp_multitask | d74e5428319130225ba1aa862dac021a52d5d766 | 2021-06-23T05:14:09.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_base_source_code_summarization_csharp_multitask | 14 | null | transformers | 9,783 | ---
tags:
- summarization
widget:
- text: "public static DateTime ParseUnixDateTime ( double unixTime ) { var dt = new DateTime ( CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , System . DateTimeKind . Utc ) ; dt = dt . AddSeconds ( unixTimeStamp ) . ToLocalTime ... |
SEBIS/legal_t5_small_trans_sv_en | f8cfe534f0bbe4f4cdc27ad3f7cbf29e3d86c7a0 | 2021-06-23T10:08:13.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"Swedish English",
"dataset:dcep europarl jrc-acquis",
"transformers",
"translation Swedish English model",
"autotrain_compatible"
] | text2text-generation | false | SEBIS | null | SEBIS/legal_t5_small_trans_sv_en | 14 | null | transformers | 9,784 |
---
language: Swedish English
tags:
- translation Swedish English model
datasets:
- dcep europarl jrc-acquis
widget:
- text: "Om rΓ€ttsliga fΓΆrfaranden inleds rΓΆrande omstΓ€ndigheter som ombudsmannen utreder skall han avsluta Γ€rendet."
---
# legal_t5_small_trans_sv_en model
Model on translating legal text from Swe... |
Sakil/distilbert_lazylearner_hatespeech_detection | cc07edc263e27a23453611d11d2d33caeaa5dce2 | 2022-02-20T15:00:43.000Z | [
"pytorch",
"distilbert",
"text-classification",
"en",
"transformers",
"hate",
"speech",
"license:apache-2.0"
] | text-classification | false | Sakil | null | Sakil/distilbert_lazylearner_hatespeech_detection | 14 | null | transformers | 9,785 | ---
license: apache-2.0
language: en
tags:
- hate
- speech
widget:
- text: "RT @ShenikaRoberts: The shit you hear about me might be true or it might be faker than the bitch who told it to ya ᙨ"
---
# Dataset Collection:
* The hatespeech dataset is collected from different open sources like Kaggle ,... |
SetFit/distilbert-base-uncased__TREC-QC__all-train | 56da4b93982f9fbf65ab88350068a71e2f36ecec | 2022-01-26T20:30:00.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | SetFit | null | SetFit/distilbert-base-uncased__TREC-QC__all-train | 14 | null | transformers | 9,786 | Entry not found |
Sora4762/DialoGPT-small-naruto | f6737e28cb5abf95fa60ea2d21a41a446d0e859e | 2022-01-20T17:50:12.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Sora4762 | null | Sora4762/DialoGPT-small-naruto | 14 | null | transformers | 9,787 | ---
tags:
- conversational
---
# Naruto DialoGPT Model |
Tatyana/rubert_conversational_cased_sentiment | 95945f1fad53246fa0f47f8aff9a299ca9e367f7 | 2021-05-19T22:26:59.000Z | [
"pytorch",
"bert",
"ru",
"dataset:Tatyana/ru_sentiment_dataset",
"transformers",
"sentiment",
"text-classification"
] | text-classification | false | Tatyana | null | Tatyana/rubert_conversational_cased_sentiment | 14 | null | transformers | 9,788 | ---
language:
- ru
tags:
- sentiment
- text-classification
datasets:
- Tatyana/ru_sentiment_dataset
---
# Keras model with ruBERT conversational embedder for Sentiment Analysis
Russian texts sentiment classification.
Model trained on [Tatyana/ru_sentiment_dataset](https://huggingface.co/datasets/Tatyana/ru_sentiment_... |
Tsubasaz/clinical-pubmed-bert-base-128 | 73a95af29ac4204421b4ca5828297cc05d8f373a | 2022-01-27T15:44:06.000Z | [
"pytorch",
"bert",
"fill-mask",
"en",
"dataset:MIMIC-III",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | Tsubasaz | null | Tsubasaz/clinical-pubmed-bert-base-128 | 14 | null | transformers | 9,789 | ---
language:
- en
license: mit
datasets:
- MIMIC-III
widget:
- text: "Due to shortness of breath, the patient is diagnosed with [MASK], and other respiratory problems."
example_title: "Example 1"
---
# ClinicalPubMedBERT
## Description
A BERT model pre-trained on PubMed abstracts, and continual pre-trained on c... |
Vaibhavbrkn/mbart-english-hindi | 3c96d2df0c2dc55af2e1b31c97edb3dc62d872df | 2021-06-12T03:41:52.000Z | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Vaibhavbrkn | null | Vaibhavbrkn/mbart-english-hindi | 14 | null | transformers | 9,790 | Entry not found |
Yuchen/muril-large-cased-hita-qa | 2062749a61d49a49b1e1af224f6c7f41acd5f80c | 2022-07-23T07:01:06.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | Yuchen | null | Yuchen/muril-large-cased-hita-qa | 14 | null | transformers | 9,791 | ---
thumbnail: https://huggingface.co/front/thumbnails/google.png
license: apache-2.0
---
# Question Answering model for Hindi and Tamil
This model is part of the ensemble that ranked 4/943 in the [Hindi and Tamil Question Answering](https://www.kaggle.com/c/chaii-hindi-and-tamil-question-answering) competition held ... |
Zixtrauce/SelfAwareness | 6183de34e056c91d0010af5fbe1a15e77dbf2d61 | 2022-01-02T04:38:04.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Zixtrauce | null | Zixtrauce/SelfAwareness | 14 | 1 | transformers | 9,792 | ---
tags:
- conversational
---
#SelfAwareness |
Zohar/distilgpt2-finetuned-restaurant-reviews | 1be19e2016e8d06fd229b3da6f86d12a5676fd0f | 2022-02-16T12:53:21.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | Zohar | null | Zohar/distilgpt2-finetuned-restaurant-reviews | 14 | null | transformers | 9,793 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-restaurant-reviews
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. --... |
aapot/wav2vec2-xlsr-1b-finnish-v2 | 40a3206c10975e73f04f947ac9fc259b017793b0 | 2022-03-28T17:49:48.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"fi",
"dataset:mozilla-foundation/common_voice_7_0",
"arxiv:2111.09296",
"transformers",
"finnish",
"generated_from_trainer",
"hf-asr-leaderboard",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | aapot | null | aapot/wav2vec2-xlsr-1b-finnish-v2 | 14 | null | transformers | 9,794 | ---
license: apache-2.0
language: fi
metrics:
- wer
- cer
tags:
- automatic-speech-recognition
- fi
- finnish
- generated_from_trainer
- hf-asr-leaderboard
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: wav2vec2-xlsr-1b-finnish-v2
results:
- task:
name: Automatic Sp... |
abdelkader/distilbert-base-uncased-finetuned-emotion | 8cf56c72387bef639411e4850a118339e94f11c4 | 2022-01-04T23:18:05.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | abdelkader | null | abdelkader/distilbert-base-uncased-finetuned-emotion | 14 | null | transformers | 9,795 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... |
addy88/wav2vec2-telugu-stt | b66519593f1d9ac1ac77b4607b190287b6e24566 | 2021-12-19T15:39:58.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | addy88 | null | addy88/wav2vec2-telugu-stt | 14 | null | transformers | 9,796 | ## Usage
The model can be used directly (without a language model) as follows:
```python
import soundfile as sf
import torch
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
import argparse
def parse_transcription(wav_file):
# load pretrained model
processor = Wav2Vec2Processor.from_pretrained("addy88... |
ainize/gpt2-simpsons-script-large | 898a39d4cc32a9e6252c93501a344cdfd312a81a | 2021-05-21T12:13:28.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | ainize | null | ainize/gpt2-simpsons-script-large | 14 | null | transformers | 9,797 | Entry not found |
aloxatel/W2L | f8a6e3b403f24f0d1e2b3f1abffaa9cb3338d2f2 | 2021-05-20T14:04:23.000Z | [
"pytorch",
"jax",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | aloxatel | null | aloxatel/W2L | 14 | null | transformers | 9,798 | Entry not found |
annedirkson/BERT_embeddings_ADR_normalization | 90551034d8d7b3510b35c99bafa21ce050768ea3 | 2022-03-02T13:57:14.000Z | [
"pytorch",
"tf",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | annedirkson | null | annedirkson/BERT_embeddings_ADR_normalization | 14 | null | transformers | 9,799 | Entry not found |
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