modelId stringlengths 4 112 | sha stringlengths 40 40 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringclasses 29
values | private bool 1
class | author stringlengths 2 38 ⌀ | config null | id stringlengths 4 112 | downloads float64 0 36.8M ⌀ | likes float64 0 712 ⌀ | library_name stringclasses 17
values | __index_level_0__ int64 0 38.5k | readme stringlengths 0 186k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
rajistics/distilbert-imdb-mlflow | 7d3e3d7107f8b175c90e34a1f74ba46fdc09da36 | 2022-07-20T21:06:00.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | rajistics | null | rajistics/distilbert-imdb-mlflow | 13 | null | transformers | 10,400 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-imdb-mlflow
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. --... |
okho0653/Bio_ClinicalBERT-zero-shot-finetuned-50cad-50noncad | 5eb1d9075118a203522116d6fe5f23966fcc02d0 | 2022-07-22T03:50:29.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | okho0653 | null | okho0653/Bio_ClinicalBERT-zero-shot-finetuned-50cad-50noncad | 13 | null | transformers | 10,401 | Entry not found |
doya/klue-sentiment-aihub | cb55e0a40fd90bd499829633c2d75102aebd0f5e | 2022-07-22T06:53:16.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | doya | null | doya/klue-sentiment-aihub | 13 | null | transformers | 10,402 | Entry not found |
Siyong/MC_RN_LM | 833b466e58d517d2ff7247ced195127f8bf75927 | 2022-07-23T17:16:23.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Siyong | null | Siyong/MC_RN_LM | 13 | null | transformers | 10,403 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Millad_Customer_RN
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. -->
# Millad_Customer_... |
grantpitt/autotagger | 7e560f0a65b5542cfa70c044a20955134cbac441 | 2022-07-24T18:03:29.000Z | [
"pytorch",
"vision-text-dual-encoder",
"feature-extraction",
"transformers"
] | feature-extraction | false | grantpitt | null | grantpitt/autotagger | 13 | null | transformers | 10,404 | Entry not found |
tnavin/distilbert-base-uncased-finetuned-ner | a0465749e562171d3daa4a5dced8cf0a4c104be0 | 2022-07-24T08:58:43.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"dataset:wnut_17",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | tnavin | null | tnavin/distilbert-base-uncased-finetuned-ner | 13 | null | transformers | 10,405 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wnut_17
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: wnut_17
type: wnut_17
... |
thu-coai/EVA2.0-large | be4c935951812c16a467ea8a75f5a45591970c49 | 2022-07-25T03:40:50.000Z | [
"pytorch",
"zh",
"arxiv:2108.01547",
"arxiv:2203.09313",
"transformers",
"license:mit"
] | null | false | thu-coai | null | thu-coai/EVA2.0-large | 13 | 1 | transformers | 10,406 | ---
language: zh
tags:
- pytorch
license: mit
---
# EVA
## Model Description
EVA is the largest open-source Chinese dialogue model with up to 2.8B parameters. The 1.0 version model is pre-trained on [WudaoCorpus-Dialog](https://resource.wudaoai.cn/home), and the 2.0 version is pre-trained on a carefully cleaned ver... |
rufimelo/Legal-SBERTimbau-nli-large | 51ad3ba29400f8347e9eed885ae1314ee91b6a44 | 2022-07-25T15:48:08.000Z | [
"pytorch",
"bert",
"feature-extraction",
"pt",
"dataset:assin",
"dataset:assin2",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | rufimelo | null | rufimelo/Legal-SBERTimbau-nli-large | 13 | 1 | sentence-transformers | 10,407 | ---
language:
- pt
thumbnail: "Portugues SBERT for the Legal Domain"
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- transformers
datasets:
- assin
- assin2
widget:
- source_sentence: "O advogado apresentou as provas ao juíz."
sentences:
- "O juíz leu as provas."
- ... |
nielsr/donut-base-finetuned-cord-v2 | a5930f78491cdbcaf655b51facd3b8a1b305baae | 2022-07-26T09:46:25.000Z | [
"pytorch",
"vision-encoder-decoder",
"transformers"
] | null | false | nielsr | null | nielsr/donut-base-finetuned-cord-v2 | 13 | null | transformers | 10,408 | Entry not found |
korca/roberta-large-lkm | 069aaaf41dae7e17adde25b3652b535c76bcd16e | 2022-07-25T16:03:38.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | korca | null | korca/roberta-large-lkm | 13 | null | transformers | 10,409 | Entry not found |
BramVanroy/xlm-roberta-base-hebban-reviews | a5e638594a47dedcab7ea92ff0b4e5be2e83c09b | 2022-07-29T09:43:04.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"nl",
"dataset:BramVanroy/hebban-reviews",
"transformers",
"sentiment-analysis",
"dutch",
"text",
"license:mit",
"model-index"
] | text-classification | false | BramVanroy | null | BramVanroy/xlm-roberta-base-hebban-reviews | 13 | null | transformers | 10,410 | ---
datasets:
- BramVanroy/hebban-reviews
language:
- nl
license: mit
metrics:
- accuracy
- f1
- precision
- qwk
- recall
model-index:
- name: xlm-roberta-base-hebban-reviews
results:
- dataset:
config: filtered_sentiment
name: BramVanroy/hebban-reviews - filtered_sentiment - 2.0.0
revision: 2.0.0... |
mmmmmmd/HSD | 054396bfe07336b5386237e323e95046cc9af18f | 2022-07-27T14:42:23.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | mmmmmmd | null | mmmmmmd/HSD | 13 | null | transformers | 10,411 | Entry not found |
prubach/KnotProtSequencesModel | 0bfdecdf05c1eb7e65834e0ad059158348eec786 | 2022-07-28T08:26:15.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | prubach | null | prubach/KnotProtSequencesModel | 13 | null | transformers | 10,412 | Entry not found |
HCKLab/BiBert-Classification | d58bd98b518abf4563c507937056f03d3863fb43 | 2022-07-28T17:39:57.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | HCKLab | null | HCKLab/BiBert-Classification | 13 | null | transformers | 10,413 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: BiBert-Classification
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. -->
# ... |
johanna-k/bart-pw-seg | a31af3eaa03409510322fac9a844618a18373612 | 2022-07-28T18:08:20.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | johanna-k | null | johanna-k/bart-pw-seg | 13 | null | transformers | 10,414 | Entry not found |
tosin/dialogpt_afriwoz_pidgin | 28ed5a4ed224c629ac705f0cbb2d81f2dae81208 | 2022-07-29T08:41:47.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"dataset:AfriWOZ",
"arxiv:2204.08083",
"transformers",
"conversational",
"license:cc-by-4.0"
] | conversational | false | tosin | null | tosin/dialogpt_afriwoz_pidgin | 13 | null | transformers | 10,415 | ---
thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png
language:
- en
license: cc-by-4.0
tags:
- conversational
- transformers
datasets:
- AfriWOZ
metrics:
- perplexity
widget:
- text: "How I fit chop for here?"
---
## DialoGPT_AfriWOZ (Pidgin)
This is a fine-tuned model of DialoGPT (small) on the AfriWO... |
ARTeLab/it5-summarization-fanpage | fe05e8892623219cb8b2cf1ccc925902cf562e9e | 2022-05-03T06:06:32.000Z | [
"pytorch",
"t5",
"text2text-generation",
"it",
"dataset:ARTeLab/fanpage",
"transformers",
"summarization",
"model-index",
"autotrain_compatible"
] | summarization | false | ARTeLab | null | ARTeLab/it5-summarization-fanpage | 12 | 2 | transformers | 10,416 | ---
tags:
- summarization
language:
- it
metrics:
- rouge
model-index:
- name: summarization_fanpage128
results: []
datasets:
- ARTeLab/fanpage
---
# summarization_fanpage128
This model is a fine-tuned version of [gsarti/it5-base](https://huggingface.co/gsarti/it5-base) on Fanpage dataset for Abstractive Summarizat... |
Adi2K/Priv-Consent | f14517d90a670e6dfb3614a489d7ea688f93ffe0 | 2021-09-24T12:53:04.000Z | [
"pytorch",
"bert",
"text-classification",
"eng",
"dataset:Adi2K/autonlp-data-Priv-Consent",
"transformers"
] | text-classification | false | Adi2K | null | Adi2K/Priv-Consent | 12 | null | transformers | 10,417 | ---
language: eng
widget:
- text: "You can control cookies and tracking tools. To learn how to manage how we - and our vendors - use cookies and other tracking tools, please click here."
datasets:
- Adi2K/autonlp-data-Priv-Consent
---
# Model
- Problem type: Binary Classification
- Model ID: 12592372
## Validation ... |
CNT-UPenn/Bio_ClinicalBERT_for_seizureFreedom_classification | a528e34d5ca9e69f4b6b146f4514292a97cfaef4 | 2022-03-02T19:02:27.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | CNT-UPenn | null | CNT-UPenn/Bio_ClinicalBERT_for_seizureFreedom_classification | 12 | null | transformers | 10,418 | emilyalsentzer/Bio_ClinicalBERT with additional training through the finetuning pipeline described in "Extracting Seizure Frequency From Epilepsy Clinic Notes: A Machine Reading Approach To Natural Language Processing."
Citation: Kevin Xie, Ryan S Gallagher, Erin C Conrad, Chadric O Garrick, Steven N Baldassano, John... |
CenIA/distillbert-base-spanish-uncased-finetuned-xnli | 8f647d2548b13362749fca727f54ee0cd14ca41b | 2021-12-08T22:24:16.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | CenIA | null | CenIA/distillbert-base-spanish-uncased-finetuned-xnli | 12 | null | transformers | 10,419 | Entry not found |
Chun/DialoGPT-large-dailydialog | f2a03f2d8fd148f22bc1b11807be55634393851f | 2021-08-08T22:31:47.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | Chun | null | Chun/DialoGPT-large-dailydialog | 12 | null | transformers | 10,420 | Entry not found |
Crives/distilbert-base-uncased-finetuned-emotion | 337d701f659964a94f3bd1a0c598b5f3f4be1394 | 2022-02-09T22:08:11.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Crives | null | Crives/distilbert-base-uncased-finetuned-emotion | 12 | null | transformers | 10,421 | ---
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... |
DSI/human-directed-sentiment | d32186640284ff82253ec1fdaee75cd9ba1e75fb | 2022-01-17T14:20:52.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | DSI | null | DSI/human-directed-sentiment | 12 | null | transformers | 10,422 | ** Human-Directed Sentiment Analysis in Arabic
A supervised training procedure to classify human-directed-sentiment in a text. We define the human-directed-sentiment as the polarity of one user towards a second person who is involved with him in a discussion. |
Edresson/wav2vec2-large-100k-voxpopuli-ft-Common-Voice_plus_TTS-Dataset-portuguese | dcc63c8ca28b9414b871fd2c256ebd000b36df80 | 2022-07-17T17:43:02.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"pt",
"dataset:Common Voice",
"arxiv:2204.00618",
"transformers",
"audio",
"speech",
"portuguese-speech-corpus",
"PyTorch",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Edresson | null | Edresson/wav2vec2-large-100k-voxpopuli-ft-Common-Voice_plus_TTS-Dataset-portuguese | 12 | 1 | transformers | 10,423 | ---
language: pt
datasets:
- Common Voice
metrics:
- wer
tags:
- audio
- speech
- wav2vec2
- pt
- portuguese-speech-corpus
- automatic-speech-recognition
- speech
- PyTorch
license: apache-2.0
model-index:
- name: Edresson Casanova Wav2vec2 Large 100k Voxpopuli fine-tuned with Common Voice and TTS-Portuguese Corpus in... |
EleutherAI/enformer-corr_coef_obj | 4aad70eea20892cb7e9c2d6f692a8277660bc0e8 | 2022-02-23T12:18:12.000Z | [
"pytorch",
"enformer",
"transformers",
"license:apache-2.0"
] | null | false | EleutherAI | null | EleutherAI/enformer-corr_coef_obj | 12 | null | transformers | 10,424 | ---
license: apache-2.0
inference: false
---
# Enformer
Enformer model. It was introduced in the paper [Effective gene expression prediction from sequence by integrating long-range interactions.](https://www.nature.com/articles/s41592-021-01252-x) by Avsec et al. and first released in [this repository](https://github... |
EnsarEmirali/distilbert-base-uncased-finetuned-emotion | 7d13520ba2e005fbc05dd35a810e032dc9c5473a | 2022-02-21T05:53:26.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | EnsarEmirali | null | EnsarEmirali/distilbert-base-uncased-finetuned-emotion | 12 | null | transformers | 10,425 | ---
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... |
Fengkai/distilbert-base-uncased-finetuned-emotion | e6243bb50bd2abc315d72be76fc526d7092f80d0 | 2022-01-25T02:11:58.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Fengkai | null | Fengkai/distilbert-base-uncased-finetuned-emotion | 12 | null | transformers | 10,426 | ---
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... |
GKLMIP/bert-tagalog-base-uncased | 67bb407fe500434512132f0835973d32b858478f | 2021-07-31T02:14:37.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | GKLMIP | null | GKLMIP/bert-tagalog-base-uncased | 12 | null | transformers | 10,427 | https://github.com/GKLMIP/Pretrained-Models-For-Tagalog
If you use our model, please consider citing our paper:
```
@InProceedings{,
author="Jiang, Shengyi
and Fu, Yingwen
and Lin, Xiaotian
and Lin, Nankai",
title="Pre-trained Language models for Tagalog with Multi-source data",
booktitle="Natural Language Processing ... |
GKLMIP/electra-myanmar-base-uncased | ae53e2d14d6ce28cf9beda9f822ca4360a58493c | 2021-10-11T04:58:43.000Z | [
"pytorch",
"electra",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | GKLMIP | null | GKLMIP/electra-myanmar-base-uncased | 12 | null | transformers | 10,428 | The Usage of tokenizer for Myanmar is same as Laos in https://github.com/GKLMIP/Pretrained-Models-For-Laos.
If you use our model, please consider citing our paper:
```
@InProceedings{,
author="Jiang, Shengyi
and Huang, Xiuwen
and Cai, Xiaonan
and Lin, Nankai",
title="Pre-trained Models and Evaluation Data for the Myan... |
Gregor-Davies/DialoGPT-small-rick | bad252226ba9192e914f8812c5c811346642d31f | 2022-01-23T13:15:35.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational",
"PyTorch",
"Transformers",
"lm-head",
"causal-lm"
] | conversational | false | Gregor-Davies | null | Gregor-Davies/DialoGPT-small-rick | 12 | null | transformers | 10,429 | ---
tags:
- conversational
- PyTorch
- Transformers
- gpt2
- lm-head
- causal-lm
- text-generation
---
# rick and morty |
GroNLP/bert-base-dutch-cased-upos-alpino-frisian | 472aab6e53f0883a2efe2c7cb608043594e48f23 | 2021-05-18T20:22:21.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"token-classification",
"fy",
"arxiv:2105.02855",
"transformers",
"BERTje",
"pos",
"autotrain_compatible"
] | token-classification | false | GroNLP | null | GroNLP/bert-base-dutch-cased-upos-alpino-frisian | 12 | null | transformers | 10,430 | ---
language: fy
tags:
- BERTje
- pos
---
Wietse de Vries • Martijn Bartelds • Malvina Nissim • Martijn Wieling
# Adapting Monolingual Models: Data can be Scarce when Language Similarity is High
This model is part of this paper + code:
- 📝 [Paper](https://arxiv.org/abs/2105.02855)
- 💻 [Code](https://github.com/wi... |
HScomcom/gpt2-game-of-thrones | 481371376135f570a8c1a4681ccddede9f305acb | 2021-05-21T10:28:34.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | HScomcom | null | HScomcom/gpt2-game-of-thrones | 12 | null | transformers | 10,431 | Entry not found |
Hate-speech-CNERG/deoffxlmr-mono-kannada | b4845d6249e4d748f6c3f589c2ddb447389b739d | 2021-09-25T14:01:14.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"kn",
"transformers",
"license:apache-2.0"
] | text-classification | false | Hate-speech-CNERG | null | Hate-speech-CNERG/deoffxlmr-mono-kannada | 12 | null | transformers | 10,432 | ---
language: kn
license: apache-2.0
---
This model is used to detect **Offensive Content** in **Kannada Code-Mixed language**. The mono in the name refers to the monolingual setting, where the model is trained using only Kannada(pure and code-mixed) data. The weights are initialized from pretrained XLM-Roberta-Base an... |
Helsinki-NLP/opus-mt-afa-afa | 550470c96e6880da1c03997a4c1065bf58acdc93 | 2021-01-18T07:46:40.000Z | [
"pytorch",
"marian",
"text2text-generation",
"so",
"ti",
"am",
"he",
"mt",
"ar",
"afa",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-afa-afa | 12 | null | transformers | 10,433 | ---
language:
- so
- ti
- am
- he
- mt
- ar
- afa
tags:
- translation
license: apache-2.0
---
### afa-afa
* source group: Afro-Asiatic languages
* target group: Afro-Asiatic languages
* OPUS readme: [afa-afa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afa-afa/README.md)
* model: tran... |
Helsinki-NLP/opus-mt-ca-nl | 5ba066fbeb93263925e2bb5b12e9e05cf03a9d32 | 2021-01-18T07:53:12.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ca",
"nl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ca-nl | 12 | null | transformers | 10,434 | ---
language:
- ca
- nl
tags:
- translation
license: apache-2.0
---
### cat-nld
* source group: Catalan
* target group: Dutch
* OPUS readme: [cat-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-nld/README.md)
* model: transformer-align
* source language(s): cat
* target language(... |
Helsinki-NLP/opus-mt-ceb-sv | bf1810fb698cbeb2a7beeecb96917557ece3158f | 2021-09-09T21:28:37.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ceb",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ceb-sv | 12 | null | transformers | 10,435 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ceb-sv
* source languages: ceb
* target languages: sv
* OPUS readme: [ceb-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-de-bzs | 30ed515b4d391e1f98cefdbf5f6fcc340c979fce | 2021-09-09T21:30:21.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"bzs",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-bzs | 12 | null | transformers | 10,436 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-bzs
* source languages: de
* target languages: bzs
* OPUS readme: [de-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-bzs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-de-is | 5da3816233444156514c12635c92dda7fc16b01c | 2021-01-18T08:00:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"is",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-is | 12 | null | transformers | 10,437 | ---
language:
- de
- is
tags:
- translation
license: apache-2.0
---
### deu-isl
* source group: German
* target group: Icelandic
* OPUS readme: [deu-isl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-isl/README.md)
* model: transformer-align
* source language(s): deu
* target langua... |
Helsinki-NLP/opus-mt-en-bzs | 2b7c7d345202d17dd7f42850eae846e4d11b6fda | 2021-09-09T21:34:23.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"bzs",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-bzs | 12 | null | transformers | 10,438 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-bzs
* source languages: en
* target languages: bzs
* OPUS readme: [en-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bzs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-efi | 08b5f78e0bb66e8e1940fe1eb976a5b9de276f84 | 2021-09-09T21:35:02.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"efi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-efi | 12 | null | transformers | 10,439 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-efi
* source languages: en
* target languages: efi
* OPUS readme: [en-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-efi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-kwn | 3736240f67ae9d9b6afdc6ee9026f1ec96dc4828 | 2021-09-09T21:36:44.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"kwn",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-kwn | 12 | null | transformers | 10,440 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-kwn
* source languages: en
* target languages: kwn
* OPUS readme: [en-kwn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kwn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-kwy | 9735cf314a7647932c7db4d1598f89ddabed5ce1 | 2021-09-09T21:36:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"kwy",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-kwy | 12 | null | transformers | 10,441 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-kwy
* source languages: en
* target languages: kwy
* OPUS readme: [en-kwy](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kwy/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-loz | 2d718169c4ec0446b59e50bbc60e9bcc8536ef79 | 2021-09-09T21:37:00.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"loz",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-loz | 12 | null | transformers | 10,442 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-loz
* source languages: en
* target languages: loz
* OPUS readme: [en-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-loz/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-lue | e545785d78e4a6541363734bdea4efe8e230cdfa | 2021-09-09T21:37:11.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"lue",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-lue | 12 | null | transformers | 10,443 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-lue
* source languages: en
* target languages: lue
* OPUS readme: [en-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lue/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-lus | 55f4acfa42dd6fa4152c625b620c7861951a5a56 | 2021-09-09T21:37:23.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"lus",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-lus | 12 | null | transformers | 10,444 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-lus
* source languages: en
* target languages: lus
* OPUS readme: [en-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lus/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-st | c626d33dd89c6e5da348b773562849c5b50bc788 | 2021-09-09T21:39:23.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"st",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-st | 12 | null | transformers | 10,445 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-st
* source languages: en
* target languages: st
* OPUS readme: [en-st](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-st/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-ti | 55151ff82a6dcd684b0bfc61a0f02aab6c9a89f6 | 2021-09-09T21:39:42.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"ti",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-ti | 12 | null | transformers | 10,446 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-ti
* source languages: en
* target languages: ti
* OPUS readme: [en-ti](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ti/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-toi | ebe551da7af43d6f47fdebb52e09903e2f679a06 | 2021-09-09T21:40:05.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"toi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-toi | 12 | null | transformers | 10,447 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-toi
* source languages: en
* target languages: toi
* OPUS readme: [en-toi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-toi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-tpi | 270027882571dc2d5528cdfa18527ffcc0f1908e | 2021-09-09T21:40:09.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"tpi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-tpi | 12 | null | transformers | 10,448 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-tpi
* source languages: en
* target languages: tpi
* OPUS readme: [en-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tpi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-zle | f3ca937ee4037e9d06e7fee5a6500e49a09b8b1b | 2021-01-18T08:19:30.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"be",
"ru",
"uk",
"zle",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-zle | 12 | null | transformers | 10,449 | ---
language:
- en
- be
- ru
- uk
- zle
tags:
- translation
license: apache-2.0
---
### eng-zle
* source group: English
* target group: East Slavic languages
* OPUS readme: [eng-zle](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zle/README.md)
* model: transformer
* source language(... |
Helsinki-NLP/opus-mt-es-csg | 3da715e725eefec43cca36fbe6cc492ff8f63f06 | 2021-09-09T21:41:41.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"csg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-csg | 12 | null | transformers | 10,450 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-csg
* source languages: es
* target languages: csg
* OPUS readme: [es-csg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-csg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-es-gl | 28b88b37e53fcf5a25bb6954fda100a8944a6077 | 2021-01-18T08:24:32.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"gl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-gl | 12 | null | transformers | 10,451 | ---
language:
- es
- gl
tags:
- translation
license: apache-2.0
---
### spa-glg
* source group: Spanish
* target group: Galician
* OPUS readme: [spa-glg](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-glg/README.md)
* model: transformer-align
* source language(s): spa
* target langua... |
Helsinki-NLP/opus-mt-es-pis | e2484443c27300324e8275d0d111578aa11181f6 | 2021-09-09T21:44:09.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"pis",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-pis | 12 | null | transformers | 10,452 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-pis
* source languages: es
* target languages: pis
* OPUS readme: [es-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pis/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-es-sg | ae0ad1a6196547d8d1b233e6b13146f85b5206a2 | 2021-09-09T21:44:35.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"sg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-sg | 12 | null | transformers | 10,453 | ---
tags:
- translation
license: apache-2.0
---
### 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
* downl... |
Helsinki-NLP/opus-mt-es-wls | d7b41426d3fe16a6bafceae20493dff14eff28bb | 2021-09-09T21:45:38.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"wls",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-wls | 12 | null | transformers | 10,454 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-wls
* source languages: es
* target languages: wls
* OPUS readme: [es-wls](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-wls/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-et-es | 0a50f8fdda109247805282e5d4b8860b9e1b8154 | 2021-09-09T21:46:05.000Z | [
"pytorch",
"marian",
"text2text-generation",
"et",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-et-es | 12 | null | transformers | 10,455 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-et-es
* source languages: et
* target languages: es
* OPUS readme: [et-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-et-fi | a63d43b6d9674a26d9fec2637cfba503b7f1d186 | 2021-09-09T21:46:08.000Z | [
"pytorch",
"marian",
"text2text-generation",
"et",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-et-fi | 12 | null | transformers | 10,456 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-et-fi
* source languages: et
* target languages: fi
* OPUS readme: [et-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fi-bcl | 2d626dd80f23811869dfd49984fc519a3f0ebc18 | 2021-09-09T21:46:34.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"bcl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-bcl | 12 | null | transformers | 10,457 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-bcl
* source languages: fi
* target languages: bcl
* OPUS readme: [fi-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bcl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-fi-ht | 3b5291b5e5ee468d27e12bbaa6ae12c89331d57b | 2021-09-09T21:48:20.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"ht",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-ht | 12 | null | transformers | 10,458 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-ht
* source languages: fi
* target languages: ht
* OPUS readme: [fi-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ht/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fi-lue | 49ac1ffcb47e11b9f3b38e34375e916348046245 | 2021-09-09T21:49:15.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"lue",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-lue | 12 | null | transformers | 10,459 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-lue
* source languages: fi
* target languages: lue
* OPUS readme: [fi-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lue/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-fi-uk | ed4d5d8561fac3e7c7bf4507ea0478264febba3a | 2021-09-09T21:52:02.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"uk",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-uk | 12 | null | transformers | 10,460 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-uk
* source languages: fi
* target languages: uk
* OPUS readme: [fi-uk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-uk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fi-xh | 83167df35732d9f9ea14e52e962ca38eab391cc9 | 2021-09-09T21:52:17.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"xh",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-xh | 12 | null | transformers | 10,461 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-xh
* source languages: fi
* target languages: xh
* OPUS readme: [fi-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-xh/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fr-eo | 8b7be50a4d7f9b9b4fa3f4773a7275be4a85d4d8 | 2021-09-09T21:53:43.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"eo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-eo | 12 | null | transformers | 10,462 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-eo
* source languages: fr
* target languages: eo
* OPUS readme: [fr-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-eo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fr-fj | 11ef0862b115e52fd35adbbab5dd699305445918 | 2021-09-09T21:53:50.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"fj",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-fj | 12 | null | transformers | 10,463 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-fj
* source languages: fr
* target languages: fj
* OPUS readme: [fr-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-fj/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fr-pag | 04af4a70733cb6865afca6054717279948ffc7f4 | 2021-09-09T21:55:58.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"pag",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-pag | 12 | null | transformers | 10,464 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-pag
* source languages: fr
* target languages: pag
* OPUS readme: [fr-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pag/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-he-de | ce12c832a6a4b2547aa8d6bca659671007383a91 | 2021-09-09T22:00:21.000Z | [
"pytorch",
"marian",
"text2text-generation",
"he",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-he-de | 12 | null | transformers | 10,465 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-he-de
* source languages: he
* target languages: de
* OPUS readme: [he-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/he-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-hil-de | ff219abfd5acc4869cd501278784330723d0bf0c | 2021-09-09T22:09:57.000Z | [
"pytorch",
"marian",
"text2text-generation",
"hil",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-hil-de | 12 | null | transformers | 10,466 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-hil-de
* source languages: hil
* target languages: de
* OPUS readme: [hil-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hil-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-ilo-de | d04ede2f91302b77cf3475ceb18021ab5a8b0535 | 2021-09-09T22:11:53.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ilo",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ilo-de | 12 | null | transformers | 10,467 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ilo-de
* source languages: ilo
* target languages: de
* OPUS readme: [ilo-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ilo-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-iso-fi | b2de5164c3ba201060be53113515da8594ad7f8a | 2021-09-10T13:52:38.000Z | [
"pytorch",
"marian",
"text2text-generation",
"iso",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-iso-fi | 12 | null | transformers | 10,468 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-iso-fi
* source languages: iso
* target languages: fi
* OPUS readme: [iso-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-ja-bg | a40d942964fa268c4f8db4df3f4f6645237c3c6c | 2020-08-21T14:42:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ja",
"bg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ja-bg | 12 | null | transformers | 10,469 | ---
language:
- ja
- bg
tags:
- translation
license: apache-2.0
---
### jpn-bul
* source group: Japanese
* target group: Bulgarian
* OPUS readme: [jpn-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-bul/README.md)
* model: transformer-align
* source language(s): jpn jpn_Hani jpn_... |
Helsinki-NLP/opus-mt-ko-fi | b6e5f3dbcac05865c284ed6b04a4a89bd29af799 | 2020-08-21T14:42:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ko",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ko-fi | 12 | null | transformers | 10,470 | ---
language:
- ko
- fi
tags:
- translation
license: apache-2.0
---
### kor-fin
* source group: Korean
* target group: Finnish
* OPUS readme: [kor-fin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fin/README.md)
* model: transformer-align
* source language(s): kor kor_Hang kor_Latn... |
Helsinki-NLP/opus-mt-ln-de | d16b4910aa75a3e5ecbf2b7a5c4000296e7464ce | 2021-09-10T13:54:57.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ln",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ln-de | 12 | null | transformers | 10,471 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ln-de
* source languages: ln
* target languages: de
* OPUS readme: [ln-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-ro-fi | b10215c217387d0590a220034266dbc9bb8f4881 | 2021-09-10T14:02:07.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ro",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ro-fi | 12 | null | transformers | 10,472 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ro-fi
* source languages: ro
* target languages: fi
* OPUS readme: [ro-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ro-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-sv-crs | 746041e0a24672d2655538f87bc1ece532fd34d3 | 2021-09-10T14:05:53.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"crs",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-crs | 12 | null | transformers | 10,473 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-crs
* source languages: sv
* target languages: crs
* OPUS readme: [sv-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-crs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-sv-pon | 56bff87cd0741f8e4374ae98f9ed7a64a716342e | 2021-09-10T14:08:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"pon",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-pon | 12 | null | transformers | 10,474 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-pon
* source languages: sv
* target languages: pon
* OPUS readme: [sv-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-pon/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-sv-ru | 7f9e131a87630ee3aa68458451071e9ad54cfa47 | 2021-09-10T14:09:02.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"ru",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-ru | 12 | null | transformers | 10,475 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-ru
* source languages: sv
* target languages: ru
* OPUS readme: [sv-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ru/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-tum-en | d03aecd4ed2ae3e6530b83e88f327b27ed3eb84d | 2021-09-11T10:50:07.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tum",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tum-en | 12 | null | transformers | 10,476 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tum-en
* source languages: tum
* target languages: en
* OPUS readme: [tum-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tum-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-tw-fr | f146f6c094ec6dfed8e910455b5e6b99fd5418ee | 2021-09-11T10:50:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tw",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tw-fr | 12 | null | transformers | 10,477 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tw-fr
* source languages: tw
* target languages: fr
* OPUS readme: [tw-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tw-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-uk-fr | 3406d471a8b7c0f83e3d54ecac9bcb7fee7ee0bd | 2021-09-11T10:51:26.000Z | [
"pytorch",
"marian",
"text2text-generation",
"uk",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-uk-fr | 12 | null | transformers | 10,478 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-uk-fr
* source languages: uk
* target languages: fr
* OPUS readme: [uk-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Jeska/VaccinChatSentenceClassifierDutch | 2183d3feb33082cb2ab9cf07c20b7695e50dd4bb | 2021-11-18T17:18:39.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeska | null | Jeska/VaccinChatSentenceClassifierDutch | 12 | null | transformers | 10,479 | Entry not found |
JonatanGk/roberta-base-bne-finetuned-catalonia-independence-detector | b146b6ca4f449d275c69705e6232823670dca16e | 2021-10-10T18:37:59.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"es",
"dataset:catalonia_independence",
"transformers",
"spanish",
"license:apache-2.0",
"model-index"
] | text-classification | false | JonatanGk | null | JonatanGk/roberta-base-bne-finetuned-catalonia-independence-detector | 12 | 1 | transformers | 10,480 | ---
license: apache-2.0
language: es
tags:
- "spanish"
datasets:
- catalonia_independence
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned-mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: catalonia_independence
type: catalonia_in... |
JonatanGk/roberta-base-bne-finetuned-hate-speech-offensive-spanish | b9c846b023ede70b5863b8dbec3f8a6abfadbd6f | 2021-10-18T17:10:11.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | JonatanGk | null | JonatanGk/roberta-base-bne-finetuned-hate-speech-offensive-spanish | 12 | null | transformers | 10,481 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned-mnli
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... |
JonatanGk/roberta-base-ca-finetuned-catalonia-independence-detector | 44418a48fb8ed75b5220c87e8a98b544ec23214c | 2021-10-10T18:38:15.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"ca",
"dataset:catalonia_independence",
"transformers",
"catalan",
"license:apache-2.0",
"model-index"
] | text-classification | false | JonatanGk | null | JonatanGk/roberta-base-ca-finetuned-catalonia-independence-detector | 12 | 1 | transformers | 10,482 | ---
license: apache-2.0
language: ca
tags:
- "catalan"
datasets:
- catalonia_independence
metrics:
- accuracy
model-index:
- name: roberta-base-ca-finetuned-mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: catalonia_independence
type: catalonia_ind... |
KBLab/megatron-bert-base-swedish-cased-600k | 540051f7da73debe8e3b38e6bb11060820f0eefa | 2022-03-17T11:11:13.000Z | [
"pytorch",
"megatron-bert",
"fill-mask",
"sv",
"transformers",
"autotrain_compatible"
] | fill-mask | false | KBLab | null | KBLab/megatron-bert-base-swedish-cased-600k | 12 | null | transformers | 10,483 | ---
language:
- sv
---
# Megatron-BERT-base Swedish 600k
This BERT model was trained using the Megatron-LM library.
The size of the model is a regular BERT-base with 110M parameters.
The model was trained on about 70GB of data, consisting mostly of OSCAR and Swedish newspaper text curated by the National Library of ... |
KETI-AIR/ke-t5-small-newslike | 292abf1540533590a6eb01550ccedf854392e7cc | 2021-06-23T03:12:48.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | KETI-AIR | null | KETI-AIR/ke-t5-small-newslike | 12 | null | transformers | 10,484 | Entry not found |
SI2M-Lab/DarijaBERT-arabizi | 9b419fa5da3aba612a5b2b7c8131b66e8515ad2e | 2021-12-27T08:41:53.000Z | [
"pytorch",
"bert",
"fill-mask",
"ar",
"transformers",
"autotrain_compatible"
] | fill-mask | false | SI2M-Lab | null | SI2M-Lab/DarijaBERT-arabizi | 12 | null | transformers | 10,485 | ---
language: ar
widget:
- text: " Mchit njib [MASK] ."
- text: " Yak nta li [MASK] lih dik lhedra."
- text: " Ach [MASK] daba."
- text: " Lmghrib ajmal [MASK] fl3alam."
---
AIOX Lab and SI2M Lab INSEA have joined forces to offer researchers, industrialists and the NLP (Natural Language Processing) community the f... |
KoichiYasuoka/bert-large-japanese-char-extended | b10e7f6b01689eb567fcd380f4afefdf509c527c | 2022-06-21T07:51:33.000Z | [
"pytorch",
"bert",
"fill-mask",
"ja",
"transformers",
"japanese",
"masked-lm",
"wikipedia",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | KoichiYasuoka | null | KoichiYasuoka/bert-large-japanese-char-extended | 12 | null | transformers | 10,486 | ---
language:
- "ja"
tags:
- "japanese"
- "masked-lm"
- "wikipedia"
license: "cc-by-sa-4.0"
pipeline_tag: "fill-mask"
mask_token: "[MASK]"
widget:
- text: "酸素ボンベを充[MASK]する。"
---
# bert-large-japanese-char-extended
## Model Description
This is a BERT model pre-trained on Japanese Wikipedia texts, derived from [bert-l... |
KoichiYasuoka/roberta-base-thai-char-upos | d7c8222db8ac8d3c3cedf63dc4fd06a15b4c88a6 | 2022-04-12T10:26:40.000Z | [
"pytorch",
"roberta",
"token-classification",
"th",
"dataset:universal_dependencies",
"transformers",
"thai",
"pos",
"wikipedia",
"dependency-parsing",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/roberta-base-thai-char-upos | 12 | null | transformers | 10,487 | ---
language:
- "th"
tags:
- "thai"
- "token-classification"
- "pos"
- "wikipedia"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "apache-2.0"
pipeline_tag: "token-classification"
widget:
- text: "หลายหัวดีกว่าหัวเดียว"
---
# roberta-base-thai-char-upos
## Model Description
This is a RoBERTa mo... |
M-FAC/bert-tiny-finetuned-qnli | 00679507fb7104e655fdf5899bf8c222866bb1b0 | 2021-12-13T08:11:40.000Z | [
"pytorch",
"bert",
"text-classification",
"arxiv:2107.03356",
"transformers"
] | text-classification | false | M-FAC | null | M-FAC/bert-tiny-finetuned-qnli | 12 | null | transformers | 10,488 | # BERT-tiny model finetuned with M-FAC
This model is finetuned on QNLI dataset with state-of-the-art second-order optimizer M-FAC.
Check NeurIPS 2021 paper for more details on M-FAC: [https://arxiv.org/pdf/2107.03356.pdf](https://arxiv.org/pdf/2107.03356.pdf).
## Finetuning setup
For fair comparison against default ... |
M47Labs/english_news_classification_headlines | da62e942b493887691e2a4adb3e70dceff2e4402 | 2021-09-08T15:03:10.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | M47Labs | null | M47Labs/english_news_classification_headlines | 12 | null | transformers | 10,489 | Entry not found |
Maltehb/aelaectra-danish-electra-small-uncased-ner-dane | 419bf45f8dc725fe4d902a44c160a77039fe086e | 2021-08-03T05:06:18.000Z | [
"pytorch",
"tf",
"electra",
"token-classification",
"da",
"dataset:DAGW",
"arxiv:2003.10555",
"arxiv:1810.04805",
"arxiv:2005.03521",
"transformers",
"ælæctra",
"danish",
"ELECTRA-Small",
"replaced token detection",
"license:mit",
"autotrain_compatible"
] | token-classification | false | Maltehb | null | Maltehb/aelaectra-danish-electra-small-uncased-ner-dane | 12 | null | transformers | 10,490 | ---
language: "da"
tags:
- ælæctra
- pytorch
- danish
- ELECTRA-Small
- replaced token detection
license: "mit"
datasets:
- DAGW
widget:
- text: "Chili Jensen, som bor på Danmarksgade 12, køber chilifrugter fra Netto."
metrics:
- f1
---
# Ælæctra - Finetuned for Named Entity Recognition on the [DaNE dataset](https://d... |
Media1129/keyword-tag-model-10000-9-16_more_ingredient | 0b1eb8f94c69552ca33e6fe6387d3017737eeaf8 | 2021-09-17T02:47:19.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Media1129 | null | Media1129/keyword-tag-model-10000-9-16_more_ingredient | 12 | null | transformers | 10,491 | Entry not found |
Media1129/keyword-tag-model-3000-v2 | d9e56eb5089d949de40972cd6c713ff8029cc9b9 | 2021-08-30T05:40:33.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Media1129 | null | Media1129/keyword-tag-model-3000-v2 | 12 | null | transformers | 10,492 | Entry not found |
Media1129/keyword-tag-model-6000 | fbb43bf22032e5cb0c37d4e9b2c8fe4f6a7ac85e | 2021-08-30T05:15:33.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Media1129 | null | Media1129/keyword-tag-model-6000 | 12 | null | transformers | 10,493 | Entry not found |
Media1129/recipe-tag-model | 1820b59ad9c11d7aefa8734017c0ff0d75a3e7eb | 2021-08-04T04:16:59.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Media1129 | null | Media1129/recipe-tag-model | 12 | null | transformers | 10,494 | Entry not found |
MhF/distilbert-base-uncased-finetuned-emotion | 3cf065757b4ddbcb8e5d1d0fd05cb21c6b1161f4 | 2022-02-15T05:38:33.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | MhF | null | MhF/distilbert-base-uncased-finetuned-emotion | 12 | null | transformers | 10,495 | ---
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... |
Momerio/meigen_generate_Japanese | 43a89f3fcd45816b2da0582b994f5876ed839e79 | 2021-10-26T01:19:59.000Z | [
"pytorch",
"gpt2",
"text-generation",
"ja",
"transformers"
] | text-generation | false | Momerio | null | Momerio/meigen_generate_Japanese | 12 | null | transformers | 10,496 | ---
language:
- ja
---
名言推論モデル
|
NDugar/v3large-2epoch | 5e4ff2a7485e0001613a487173b17f17ee809d4f | 2021-12-06T19:28:46.000Z | [
"pytorch",
"deberta-v2",
"text-classification",
"en",
"arxiv:2006.03654",
"transformers",
"deberta-v3",
"deberta-v2`",
"deberta-mnli",
"license:mit",
"zero-shot-classification"
] | zero-shot-classification | false | NDugar | null | NDugar/v3large-2epoch | 12 | null | transformers | 10,497 | ---
language: en
tags:
- deberta-v3
- deberta-v2`
- deberta-mnli
tasks: mnli
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
license: mit
pipeline_tag: zero-shot-classification
---
## DeBERTa: Decoding-enhanced BERT with Disentangled Attention
[DeBERTa](https://arxiv.org/abs/2006.03654) improves the B... |
Narsil/gpt2 | dad46dea5b8771c8fb31415c3dfce523ae8bae36 | 2021-06-22T15:04:20.000Z | [
"pytorch",
"tf",
"jax",
"tflite",
"rust",
"gpt2",
"text-generation",
"en",
"transformers",
"exbert",
"license:mit"
] | text-generation | false | Narsil | null | Narsil/gpt2 | 12 | null | transformers | 10,498 | ---
language: en
tags:
- exbert
license: mit
pipeline_tag: text-generation
---
# GPT-2
Test the whole generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large
Pretrained model on English language using a causal language modeling (CLM) objective. It was introduced in
[this paper](https://d4mu... |
Navya2608/DialoGPT-medium-rachel | a4324e4780acd290f17d42d880a37607390a57d3 | 2021-11-05T16:35:00.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Navya2608 | null | Navya2608/DialoGPT-medium-rachel | 12 | null | transformers | 10,499 | ---
tags:
- conversational
---
# Rachel Green DialoGPT Model |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.