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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
miazhao/deberta_base_model_s3_ccnet_airbnb_dat_continue3 | 283b0a2b23e5926f615b9eb058a7a177668e9adc | 2022-06-04T14:24:23.000Z | [
"pytorch",
"deberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | miazhao | null | miazhao/deberta_base_model_s3_ccnet_airbnb_dat_continue3 | 17 | null | transformers | 9,100 | Entry not found |
facebook/levit-192 | b92b6fda489d116d82b1ae9d4e3b19620b319685 | 2022-06-01T13:20:39.000Z | [
"pytorch",
"levit",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2104.01136",
"transformers",
"vision",
"license:apache-2.0"
] | image-classification | false | facebook | null | facebook/levit-192 | 17 | null | transformers | 9,101 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https... |
kktoto/tiny_bb_wd | 6dbbfb6437c501ab5a7fba5d2798dc5ff4093156 | 2022-06-02T08:06:44.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | kktoto | null | kktoto/tiny_bb_wd | 17 | null | transformers | 9,102 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: tiny_bb_wd
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. -->
... |
RUCAIBox/mvp-question-answering | 4c2aabefbd0aa809745251eb51e6d7ddbc4efa40 | 2022-06-27T02:28:05.000Z | [
"pytorch",
"mvp",
"en",
"arxiv:2206.12131",
"transformers",
"text-generation",
"text2text-generation",
"license:apache-2.0"
] | text2text-generation | false | RUCAIBox | null | RUCAIBox/mvp-question-answering | 17 | 1 | transformers | 9,103 | ---
license: apache-2.0
language:
- en
tags:
- text-generation
- text2text-generation
pipeline_tag: text2text-generation
widget:
- text: "Answer the following question: From which country did Angola achieve independence in 1975?"
example_title: "Example1"
- text: "Answer the following question: what is ce certified [... |
Massinissa/Jeux2BERT | 2299c0c1231c56390358f5f52325af785982fc5e | 2022-06-22T12:45:12.000Z | [
"pytorch",
"flaubert",
"feature-extraction",
"transformers"
] | feature-extraction | false | Massinissa | null | Massinissa/Jeux2BERT | 17 | null | transformers | 9,104 | # Jeux2BERT
Jeux2BERT is a Flaubert language model augmented by the lexico-semantic network JeuxDeMots.
Thus, this model tries to capture the distributional and relational properties of words, but also tries to discriminate the different relational properties between words or syntagms.
The Web application includes t... |
Yip/bert-finetuned-ner-chinese | 51b99198350d84f099ef8962306269a0bc4f8bf6 | 2022-06-09T07:01:04.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Yip | null | Yip/bert-finetuned-ner-chinese | 17 | null | transformers | 9,105 | Entry not found |
ghadeermobasher/Original-SciBERT-BC5CDR-Disease | 3886c9bf3c376e41df397f76d281c98fb54b1e77 | 2022-06-09T11:32:31.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/Original-SciBERT-BC5CDR-Disease | 17 | null | transformers | 9,106 | Entry not found |
ghadeermobasher/Original-SciBERT-BC4CHEMD | 6b851f7c3b26b9f9a05a2748a205652a29d291da | 2022-06-09T19:35:59.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/Original-SciBERT-BC4CHEMD | 17 | null | transformers | 9,107 | Entry not found |
ghadeermobasher/Original-SciBERT-BC5CDR-Chemical-T2 | 816382ae0281a692800e63a49a3df99fe5b5e042 | 2022-06-09T18:25:26.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/Original-SciBERT-BC5CDR-Chemical-T2 | 17 | null | transformers | 9,108 | Entry not found |
course5i/SEAD-L-6_H-384_A-12-mnli | 9052bac862ae36c60025a64a7c888730d603376a | 2022-06-12T22:59:51.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"en",
"dataset:glue",
"dataset:mnli",
"arxiv:1910.01108",
"arxiv:1909.10351",
"arxiv:2002.10957",
"arxiv:1810.04805",
"arxiv:1804.07461",
"arxiv:1905.00537",
"transformers",
"SEAD",
"license:apache-2.0"
] | text-classification | false | course5i | null | course5i/SEAD-L-6_H-384_A-12-mnli | 17 | null | transformers | 9,109 | ---
language:
- en
license: apache-2.0
tags:
- SEAD
datasets:
- glue
- mnli
---
## Paper
## [SEAD: SIMPLE ENSEMBLE AND KNOWLEDGE DISTILLATION FRAMEWORK FOR NATURAL LANGUAGE UNDERSTANDING](https://www.adasci.org/journals/lattice-35309407/?volumes=true&open=621a3b18edc4364e8a96cb63)
Aurthors: *Moyan Mei*, *Rohit Sroch*... |
EddieChen372/opt-350m-finetuned-jest | 3dc4755045e4542f160b047d993af4c98430199b | 2022-06-17T15:42:01.000Z | [
"pytorch",
"opt",
"text-generation",
"transformers"
] | text-generation | false | EddieChen372 | null | EddieChen372/opt-350m-finetuned-jest | 17 | null | transformers | 9,110 | Entry not found |
ghadeermobasher/CRAFT-Original-SciBERT-384 | b27b834167027381681297aca957e9e02d89c14a | 2022-06-13T23:01:55.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/CRAFT-Original-SciBERT-384 | 17 | null | transformers | 9,111 | Entry not found |
armandnlp/distilbert-base-uncased-finetuned-emotion | a8ceec6943d0eecbb83dcae6d184416a1d27147d | 2022-07-13T15:42:39.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | armandnlp | null | armandnlp/distilbert-base-uncased-finetuned-emotion | 17 | null | transformers | 9,112 | ---
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... |
mikegarts/distilgpt2-erichmariaremarque | e7f46cf69554ef4611d8198ba906ca96fe103958 | 2022-06-23T11:58:00.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | mikegarts | null | mikegarts/distilgpt2-erichmariaremarque | 17 | null | transformers | 9,113 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-erichmariaremarque
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. -->
# disti... |
nvidia/stt_en_citrinet_1024_gamma_0_25 | 8248f8cf6658cc888da478950f885617469935cb | 2022-06-27T23:10:16.000Z | [
"nemo",
"en",
"dataset:librispeech_asr",
"dataset:fisher_corpus",
"dataset:Switchboard-1",
"dataset:WSJ-0",
"dataset:WSJ-1",
"dataset:National Singapore Corpus Part 1",
"dataset:National Singapore Corpus Part 6",
"arxiv:2104.01721",
"automatic-speech-recognition",
"speech",
"audio",
"CTC",... | automatic-speech-recognition | false | nvidia | null | nvidia/stt_en_citrinet_1024_gamma_0_25 | 17 | 1 | nemo | 9,114 | ---
language:
- en
library_name: nemo
datasets:
- librispeech_asr
- fisher_corpus
- Switchboard-1
- WSJ-0
- WSJ-1
- National Singapore Corpus Part 1
- National Singapore Corpus Part 6
thumbnail: null
tags:
- automatic-speech-recognition
- speech
- audio
- CTC
- Citrinet
- Transformer
- pytorch
- NeMo
- hf-asr-leaderboa... |
KoichiYasuoka/deberta-base-japanese-wikipedia | e6917abca54a16ae4173b0869137384b298ba633 | 2022-07-23T14:43:45.000Z | [
"pytorch",
"deberta-v2",
"fill-mask",
"ja",
"transformers",
"japanese",
"masked-lm",
"wikipedia",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | KoichiYasuoka | null | KoichiYasuoka/deberta-base-japanese-wikipedia | 17 | null | transformers | 9,115 | ---
language:
- "ja"
tags:
- "japanese"
- "masked-lm"
- "wikipedia"
license: "cc-by-sa-4.0"
pipeline_tag: "fill-mask"
mask_token: "[MASK]"
widget:
- text: "日本に着いたら[MASK]を訪ねなさい。"
---
# deberta-base-japanese-wikipedia
## Model Description
This is a DeBERTa(V2) model pre-trained on Japanese Wikipedia and 青空文庫 texts. Yo... |
cambridgeltl/mle_wikitext103 | 2359c00354df30e6290722e8746401bf1b957375 | 2022-06-26T13:47:20.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | cambridgeltl | null | cambridgeltl/mle_wikitext103 | 17 | null | transformers | 9,116 | Entry not found |
sohomghosh/LIPI_FinSim3_Hypernym | 8b77f2907c442cf7f29b374d00c7762ddbbde6d6 | 2022-06-28T06:54:42.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers",
"license:mit"
] | feature-extraction | false | sohomghosh | null | sohomghosh/LIPI_FinSim3_Hypernym | 17 | null | transformers | 9,117 | ---
license: mit
---
Note: This model may not perfectly replicate the numbers mentioned in the paper (\cite{chopra-ghosh-2021-term}) as unlike the original one it has been trained with lower batches sizes for fewer epochs.
The source code for training will son be made available in https://github.com/sohomghosh/FinSim... |
Chemsseddine/bert2gpt2_med_v4 | 767e8ea8e1d087a3295fd61700bb9843b3c11b4e | 2022-06-30T19:49:14.000Z | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | Chemsseddine | null | Chemsseddine/bert2gpt2_med_v4 | 17 | null | transformers | 9,118 | ---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bert2gpt2_med_v4
results: []
---
<img src="https://huggingface.co/Chemsseddine/bert2gpt2_med_ml_orange_summ-finetuned_med_sum_new-finetuned_med_sum_new/resolve/main/logobert2gpt2.png" alt="Map of positive probabilities per country." width="200"/... |
dwing/distilbert-base-uncased-finetuned-emotion | d242cc02714f34d36b2e7394bfab24e2cd3c1933 | 2022-07-01T13:38:31.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | dwing | null | dwing/distilbert-base-uncased-finetuned-emotion | 17 | null | transformers | 9,119 | ---
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... |
nvidia/tts_en_fastpitch | ae570c549ccd53d2f4ac72c472517c242e99e11f | 2022-06-29T21:23:52.000Z | [
"nemo",
"en",
"dataset:ljspeech",
"arxiv:2006.06873",
"arxiv:2108.10447",
"text-to-speech",
"speech",
"audio",
"Transformer",
"pytorch",
"NeMo",
"Riva",
"license:cc-by-4.0"
] | text-to-speech | false | nvidia | null | nvidia/tts_en_fastpitch | 17 | 3 | nemo | 9,120 | ---
language:
- en
library_name: nemo
datasets:
- ljspeech
thumbnail: null
tags:
- text-to-speech
- speech
- audio
- Transformer
- pytorch
- NeMo
- Riva
license: cc-by-4.0
---
# NVIDIA FastPitch (en-US)
<style>
img {
display: inline;
}
</style>
| [![Model architecture](https://img.shields.io/badge/Model_Arch-FastPit... |
dminiotas05/distilbert-base-uncased-finetuned-emotion | e3db9113caa03c7b7e8042d19774a16a9ecd903c | 2022-06-30T15:49:20.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | dminiotas05 | null | dminiotas05/distilbert-base-uncased-finetuned-emotion | 17 | null | transformers | 9,121 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... |
cookpad/mt5-base-indonesia-recipe-query-generation_v4 | 72515367d6ecb4986bed7d97b693e653058767ef | 2022-06-29T21:09:18.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | cookpad | null | cookpad/mt5-base-indonesia-recipe-query-generation_v4 | 17 | null | transformers | 9,122 | Entry not found |
FabianWillner/bert-base-uncased-finetuned-triviaqa | a5c80af433cc43ecad5f203b15d01b34cbaf2bbe | 2022-06-30T16:21:05.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | FabianWillner | null | FabianWillner/bert-base-uncased-finetuned-triviaqa | 17 | null | transformers | 9,123 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-finetuned-triviaqa
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. -->
... |
mmdjiji/gpt2-chinese-idioms | 7d0f3ae4ee241582a2a762dd69fcd337e0c64f2d | 2022-07-01T01:48:28.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"license:gpl-3.0"
] | text-generation | false | mmdjiji | null | mmdjiji/gpt2-chinese-idioms | 17 | null | transformers | 9,124 | ---
license: gpl-3.0
---
For the detail, see [github:mmdjiji/bert-chinese-idioms](https://github.com/mmdjiji/bert-chinese-idioms).
|
Abdelmageed95/opt-350m-economy-data | 9322da16d4bbf8e256c204e614ae34bc3c1d28bf | 2022-07-02T15:12:37.000Z | [
"pytorch",
"tensorboard",
"opt",
"text-generation",
"transformers",
"generated_from_trainer",
"license:other",
"model-index"
] | text-generation | false | Abdelmageed95 | null | Abdelmageed95/opt-350m-economy-data | 17 | null | transformers | 9,125 | ---
license: other
tags:
- generated_from_trainer
model-index:
- name: opt-350m-economy-data
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. -->
# opt-350m-economy-d... |
srcocotero/RoBERTa-es-qa | 5dfb2e5a9f76d30152fcfd8db056ccea05bff8da | 2022-07-03T12:27:46.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"dataset:squad_es",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | srcocotero | null | srcocotero/RoBERTa-es-qa | 17 | null | transformers | 9,126 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_es
model-index:
- name: RoBERTa-es-qa
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. -->
# ... |
ajtamayoh/NLP-CIC-WFU_SocialDisNER_fine_tuned_NER_EHR_Spanish_model_Mulitlingual_BERT_v2 | ae41afea4dc25c93dde11b602c85edc206045f84 | 2022-07-04T22:11:42.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ajtamayoh | null | ajtamayoh/NLP-CIC-WFU_SocialDisNER_fine_tuned_NER_EHR_Spanish_model_Mulitlingual_BERT_v2 | 17 | null | transformers | 9,127 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: NLP-CIC-WFU_SocialDisNER_fine_tuned_NER_EHR_Spanish_model_Mulitlingual_BERT_v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had a... |
Bismi/t5_squad | 32877bb4367a0224e84f1978e12bd87c0ccd6016 | 2022-07-05T05:11:54.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Bismi | null | Bismi/t5_squad | 17 | null | transformers | 9,128 | Entry not found |
shubhamitra/distilbert-base-uncased-finetuned-toxic-classification | 16d08958bda0f80f0111461fe8b47c778369ac92 | 2022-07-05T05:57:03.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | shubhamitra | null | shubhamitra/distilbert-base-uncased-finetuned-toxic-classification | 17 | null | transformers | 9,129 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-toxic-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 t... |
leminhds/distilbert-base-uncased-finetuned-emotion | c74b91253e5acdf472e4bf39f1f95720e696c8d9 | 2022-07-26T20:50:41.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | leminhds | null | leminhds/distilbert-base-uncased-finetuned-emotion | 17 | null | transformers | 9,130 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
model-index:
- name: distilbert-base-uncased-finetuned-emotion
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 r... |
upsalite/xlm-roberta-base-finetuned-emotion-2-labels | 9b0e1989f0cff43dd8628fc538577fd7d217f143 | 2022-07-13T09:56:05.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | upsalite | null | upsalite/xlm-roberta-base-finetuned-emotion-2-labels | 17 | null | transformers | 9,131 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: xlm-roberta-base-finetuned-emotion-2-labels
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 r... |
michauhl/distilbert-base-uncased-finetuned-emotion | 060607007290789050cb1047e6d0b707de1e28ad | 2022-07-13T12:57:33.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | michauhl | null | michauhl/distilbert-base-uncased-finetuned-emotion | 17 | null | transformers | 9,132 | ---
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... |
SkolkovoInstitute/GenChal_2022_nigula | abb178538d7faf355bedb1fc69bddabb1ce5bbdb | 2022-07-11T11:22:22.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"transformers",
"feedback comment generation for writing learning",
"autotrain_compatible"
] | text2text-generation | false | SkolkovoInstitute | null | SkolkovoInstitute/GenChal_2022_nigula | 17 | null | transformers | 9,133 | ---
language:
- en
tags:
- feedback comment generation for writing learning
licenses:
- cc-by-nc-sa
---
## Model overview
This model was trained in terms of [GenChal 2022: Feedback Comment Generation for Writing Learning](https://fcg.sharedtask.org/) shared task
In this task, the model gets the string with text wit... |
kinanmartin/xlm-roberta-large-ner-hrl-finetuned-ner | 13e9c2a21b0d892309d5187cfc4622c391a7795b | 2022-07-11T17:29:06.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:toydata",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | kinanmartin | null | kinanmartin/xlm-roberta-large-ner-hrl-finetuned-ner | 17 | null | transformers | 9,134 | ---
tags:
- generated_from_trainer
datasets:
- toydata
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: xlm-roberta-large-ner-hrl-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: toydata
type: toydata
args: SDN
... |
nloc2578/new_ans1 | 72067b19f52d42ca8a919243d1c39a4158d4fb33 | 2022-07-11T21:36:56.000Z | [
"pytorch",
"tensorboard",
"pegasus",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | nloc2578 | null | nloc2578/new_ans1 | 17 | null | transformers | 9,135 | ---
tags:
- generated_from_trainer
model-index:
- name: new_ans1
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. -->
# new_ans1
This model is a fine-tuned version o... |
murtaza-jafri/DialoGPT-medium-Joshua | 36d8ecd55e2a9bd376db423e6f2298da34b644a6 | 2022-07-12T10:52:55.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | murtaza-jafri | null | murtaza-jafri/DialoGPT-medium-Joshua | 17 | null | transformers | 9,136 | Entry not found |
Evelyn18/distilbert-base-uncased-becasv3-1 | 745312889cac361ddd706beeeb93d3c01a6986fa | 2022-07-13T18:13:27.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:becasv3",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | Evelyn18 | null | Evelyn18/distilbert-base-uncased-becasv3-1 | 17 | null | transformers | 9,137 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- becasv3
model-index:
- name: distilbert-base-uncased-becasv3-1
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 th... |
abdulmatinomotoso/headline_generator | f1befd008c4dd15630d779fab7bcee04c6350c9d | 2022-07-13T10:57:59.000Z | [
"pytorch",
"tensorboard",
"pegasus",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | abdulmatinomotoso | null | abdulmatinomotoso/headline_generator | 17 | null | transformers | 9,138 | ---
tags:
- generated_from_trainer
model-index:
- name: headline_generator
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. -->
# headline_generator
This model is a ... |
jhonparra18/bert-base-cased-fine-tuning-cvs-hf-studio-name | a9c8183b916c7d9fe6b37eb42365705d6bd2f8ab | 2022-07-16T02:44:09.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jhonparra18 | null | jhonparra18/bert-base-cased-fine-tuning-cvs-hf-studio-name | 17 | null | transformers | 9,139 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: bert-base-cased-fine-tuning-cvs-hf-studio-name
results: []
widget:
- text: "Egresado de la carrera Ingeniería en Computación Conocimientos de lenguajes HTML, CSS, Javascript y MySQL. Experienci... |
juliensimon/distilbert-imdb-mlflow | e8b279db024af702e76721345effa060378ba71d | 2022-07-15T13:04:46.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | juliensimon | null | juliensimon/distilbert-imdb-mlflow | 17 | null | transformers | 9,140 | ---
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. --... |
jhonparra18/xlm-roberta-base-cv-studio_name-pooler | 484d34a6c7ebde2251c2406030f0345562244744 | 2022-07-26T19:15:36.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | jhonparra18 | null | jhonparra18/xlm-roberta-base-cv-studio_name-pooler | 17 | null | transformers | 9,141 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlm-roberta-base-cv-studio_name-pooler
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... |
annahaz/distilbert-base-multilingual-cased-finetuned-misogyny-sexism-out-of-sample-test-opt-EN | 23e08ae47a484b4c6a64df913e9eedf62f5a4952 | 2022-07-26T14:17:40.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | annahaz | null | annahaz/distilbert-base-multilingual-cased-finetuned-misogyny-sexism-out-of-sample-test-opt-EN | 17 | null | transformers | 9,142 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilbert-base-multilingual-cased-finetuned-misogyny-sexism-out-of-sample-test-opt-EN
results: []
---
<!-- This model card has been generated automatically according to the information the Train... |
YumeAyasaki/DialoGPT-small-rubybot | 8dce32ec7182c95cc7b2470d4ba9f5aebe330f2e | 2022-07-16T05:47:17.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | YumeAyasaki | null | YumeAyasaki/DialoGPT-small-rubybot | 17 | null | transformers | 9,143 | ---
tags:
- conversational
---
# Nothing nothing... |
fadhilarkn/distilbert-base-uncased-finetuned-ner | 61fd0cac02cd581d88982d76eb7572a11bc40f84 | 2022-07-17T09:45:18.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | fadhilarkn | null | fadhilarkn/distilbert-base-uncased-finetuned-ner | 17 | null | transformers | 9,144 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conl... |
khosseini/bert_1875_1890 | 0b0af9f9ac16470ccbcb030a3e25ffdce54d63e2 | 2022-07-18T09:37:54.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | khosseini | null | khosseini/bert_1875_1890 | 17 | null | transformers | 9,145 | # Neural Language Models for Nineteenth-Century English: bert_1875_1890
## Introduction
BERT model trained on a large historical dataset of books in English, published between 1875-1890 and comprised of ~1.3 billion tokens.
- Data paper: http://doi.org/10.5334/johd.48
- Github repository: https://github.com/Living-... |
khosseini/bert_1890_1900 | e077ccac28833a7356a55c468fee93d2f3f454dd | 2022-07-18T09:41:11.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | khosseini | null | khosseini/bert_1890_1900 | 17 | 0 | transformers | 9,146 | # Neural Language Models for Nineteenth-Century English: bert_1890_1900
## Introduction
BERT model trained on a large historical dataset of books in English, published between 1890-1900 and comprised of ~1.1 billion tokens.
- Data paper: http://doi.org/10.5334/johd.48
- Github repository: https://github.com/Living-... |
Evelyn18/roberta-base-spanish-squades-modelo-robertav0 | 270cfad02779c27eb491232757663e7e2e6bbab2 | 2022-07-18T16:01:20.000Z | [
"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-robertav0 | 17 | null | transformers | 9,147 | ---
tags:
- generated_from_trainer
datasets:
- becasv2
model-index:
- name: roberta-base-spanish-squades-modelo-robertav0
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... |
jordyvl/bert-base-portuguese-cased_harem-selective-lowC-CRF-first-ner | 6f93ea9c57bc55dc32cca2f40e6a5405b098a4af | 2022-07-19T15:32:43.000Z | [
"pytorch",
"tensorboard",
"bert",
"dataset:harem",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | null | false | jordyvl | null | jordyvl/bert-base-portuguese-cased_harem-selective-lowC-CRF-first-ner | 17 | null | transformers | 9,148 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- harem
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-portuguese-cased_harem-selective-lowC-CRF-first-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access ... |
kabelomalapane/En-Nso_update2 | 59c5b5e6361b1ff87b0f99e2d5e8e6aeeb55cd0f | 2022-07-20T18:37:27.000Z | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"transformers",
"translation",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | translation | false | kabelomalapane | null | kabelomalapane/En-Nso_update2 | 17 | null | transformers | 9,149 | ---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: En-Nso_update2
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 commen... |
acho0057/sentiment_analysis_custom | f981b2566fd6b44d66be482d48a4ba8c7f2b4c93 | 2022-07-22T08:51:18.000Z | [
"pytorch",
"tf",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | acho0057 | null | acho0057/sentiment_analysis_custom | 17 | null | transformers | 9,150 | |
huggingtweets/luciengreaves-pontifex | 7d3ac0d21352d63d2ec67a6f3200997833633792 | 2022-07-23T00:00:09.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/luciengreaves-pontifex | 17 | 1 | transformers | 9,151 | ---
language: en
thumbnail: http://www.huggingtweets.com/luciengreaves-pontifex/1658534403996/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-righ... |
Intel/bert-base-uncased-squad-int8-static | de75d12ae3543c0564565b38ec9f4163b13b7417 | 2022-07-25T02:42:58.000Z | [
"pytorch",
"bert",
"question-answering",
"dataset:squad",
"transformers",
"int8",
"Intel® Neural Compressor",
"PostTrainingStatic",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | Intel | null | Intel/bert-base-uncased-squad-int8-static | 17 | null | transformers | 9,152 | ---
license: apache-2.0
tags:
- int8
- Intel® Neural Compressor
- PostTrainingStatic
datasets:
- squad
metrics:
- f1
---
# INT8 BERT base uncased finetuned on Squad
### Post-training static quantization
This is an INT8 PyTorch model quantized with [Intel® Neural Compressor](https://github.com/intel/neural-compress... |
doya/klue-sentiment-nsmc | e78d67b0dd3b4260a74806e934cc0adde05ef3ef | 2022-07-25T07:30:58.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | doya | null | doya/klue-sentiment-nsmc | 17 | null | transformers | 9,153 | Entry not found |
BramVanroy/robbert-v2-dutch-base-hebban-reviews | f28d32f1c459cb7879df74ef865ce98970384a24 | 2022-07-29T09:39:53.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"nl",
"dataset:BramVanroy/hebban-reviews",
"transformers",
"sentiment-analysis",
"dutch",
"text",
"license:mit",
"model-index"
] | text-classification | false | BramVanroy | null | BramVanroy/robbert-v2-dutch-base-hebban-reviews | 17 | null | transformers | 9,154 | ---
datasets:
- BramVanroy/hebban-reviews
language:
- nl
license: mit
metrics:
- accuracy
- f1
- precision
- qwk
- recall
model-index:
- name: robbert-v2-dutch-base-hebban-reviews
results:
- dataset:
config: filtered_sentiment
name: BramVanroy/hebban-reviews - filtered_sentiment - 2.0.0
revision: ... |
huggingtweets/acrasials_art | f1d7e189e7b4631ce3788585a1666a45f46edd8b | 2022-07-26T14:30:32.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/acrasials_art | 17 | null | transformers | 9,155 | ---
language: en
thumbnail: http://www.huggingtweets.com/acrasials_art/1658845828038/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; w... |
AbidHasan95/movieHunt4-ner | 65203f8a3c7701f8ca1dac9a9bfcad9cadec36e6 | 2022-07-29T09:53:57.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | AbidHasan95 | null | AbidHasan95/movieHunt4-ner | 17 | null | transformers | 9,156 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: movieHunt4-ner
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 re... |
BigSalmon/Flowberta | de72e75266e7ef4159d6332980a3cae772942c92 | 2021-06-28T19:13:14.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | BigSalmon | null | BigSalmon/Flowberta | 16 | null | transformers | 9,157 | Entry not found |
BigSalmon/MrLincolnBerta | 3e92eea4fdc7a93fbd5cf93ee75643ffa6bd7b17 | 2021-12-24T21:54:31.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | BigSalmon | null | BigSalmon/MrLincolnBerta | 16 | null | transformers | 9,158 | Example Prompt:
```
informal english: things are better when they are open source, because they are constantly being updated to enhance experience.
Translated into the Style of Abraham Lincoln: in the open-source paradigm, code is ( ceaselessly / perpetually ) being ( reengineered / revamped / polished ), thereby ( adv... |
Brian-M-Collins/article-twitter-summarisation-1 | 641a3204fdc60f4eb92215514445f8a85f2443c2 | 2022-02-22T16:37:46.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"unk",
"dataset:Brian-M-Collins/autonlp-data-abstract-twitter-summarisation",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | false | Brian-M-Collins | null | Brian-M-Collins/article-twitter-summarisation-1 | 16 | 1 | transformers | 9,159 | ---
tags: autonlp
language: unk
widget:
- text: "I love AutoNLP 🤗"
datasets:
- Brian-M-Collins/autonlp-data-abstract-twitter-summarisation
co2_eq_emissions: 122.0276344811897
---
# Model Trained Using AutoNLP
- Problem type: Summarization
- Model ID: 588216503
- CO2 Emissions (in grams): 122.0276344811897
## Valida... |
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-glf | c97c040fdfe8c39453d6425d0dbe7c675161de1e | 2021-10-18T09:58:40.000Z | [
"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-da-pos-glf | 16 | null | transformers | 9,160 | ---
language:
- ar
license: apache-2.0
widget:
- text: 'شلونك ؟ شخبارك ؟'
---
# CAMeLBERT-DA POS-GLF Model
## Model description
**CAMeLBERT-DA POS-GLF Model** is a Gulf Arabic POS tagging model that was built by fine-tuning the [CAMeLBERT-DA](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-da/) model.
For... |
CZWin32768/xlm-align | 6b7a0812d30b3fe2c78fc49d91aa234d969b7bc7 | 2021-07-21T07:53:29.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"arxiv:2106.06381",
"transformers",
"autotrain_compatible"
] | fill-mask | false | CZWin32768 | null | CZWin32768/xlm-align | 16 | null | transformers | 9,161 | # XLM-Align
**Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment** (ACL-2021, [paper](https://arxiv.org/pdf/2106.06381.pdf), [github](https://github.com/CZWin32768/XLM-Align))
XLM-Align is a pretrained cross-lingual language model that supports 94 languages. See details in our [paper](... |
DataikuNLP/paraphrase-albert-small-v2 | 94e7d607209b5e81aedd815066e084d7b1e227cd | 2021-09-01T13:30:27.000Z | [
"pytorch",
"albert",
"feature-extraction",
"arxiv:1908.10084",
"sentence-transformers",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | false | DataikuNLP | null | DataikuNLP/paraphrase-albert-small-v2 | 16 | null | sentence-transformers | 9,162 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# DataikuNLP/paraphrase-albert-small-v2
**This model is a copy of [this model repository](https://huggingface.co/sentence-transformers/paraphrase-albert-small-v2/) from... |
Davlan/xlm-roberta-base-finetuned-igbo | 0c10763e2cf85e0e393ea7a9ccf1365ff9dcc0c9 | 2021-06-06T20:13:58.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"ig",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Davlan | null | Davlan/xlm-roberta-base-finetuned-igbo | 16 | null | transformers | 9,163 | Hugging Face's logo
---
language: ig
datasets:
---
# xlm-roberta-base-finetuned-igbo
## Model description
**xlm-roberta-base-finetuned-igbo** is a **Igbo RoBERTa** model obtained by fine-tuning **xlm-roberta-base** model on Hausa language texts. It provides **better performance** than the XLM-RoBERTa on named entity ... |
Davlan/xlm-roberta-base-finetuned-kinyarwanda | eb8a4a3573047b37b6be993c7b04c6374ca30fd6 | 2021-06-15T20:24:02.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"rw",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Davlan | null | Davlan/xlm-roberta-base-finetuned-kinyarwanda | 16 | null | transformers | 9,164 | Hugging Face's logo
---
language: rw
datasets:
---
# xlm-roberta-base-finetuned-kinyarwanda
## Model description
**xlm-roberta-base-finetuned-kinyarwanda** is a **Kinyarwanda RoBERTa** model obtained by fine-tuning **xlm-roberta-base** model on Kinyarwanda language texts. It provides **better performance** than the X... |
EhsanAghazadeh/xlnet-large-cased-CoLA_B | a5d146f1c4c291db0758e1c287ff7242c3dff7cc | 2021-04-19T10:59:46.000Z | [
"pytorch",
"xlnet",
"text-classification",
"transformers"
] | text-classification | false | EhsanAghazadeh | null | EhsanAghazadeh/xlnet-large-cased-CoLA_B | 16 | null | transformers | 9,165 | Entry not found |
FFZG-cleopatra/bert-emoji-latvian-twitter | 42b35cea36e13ed9662840dcd9ecaa8db7595cc0 | 2021-05-18T18:33:26.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | FFZG-cleopatra | null | FFZG-cleopatra/bert-emoji-latvian-twitter | 16 | null | transformers | 9,166 | Entry not found |
FremyCompany/xls-r-2b-nl-v2_lm-5gram-os2_hunspell | 27c2d35249d3976ee0b4d15b0eda65025dd18b70 | 2022-03-23T18:28:16.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"nl",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"hf-asr-leaderboard",
"model_for_talk",
"mozilla-foundation/common_voice_8_0",
"nl_BE",
"nl_NL",
"robust-speech-event",
"model-index"
] | automatic-speech-recognition | false | FremyCompany | null | FremyCompany/xls-r-2b-nl-v2_lm-5gram-os2_hunspell | 16 | 1 | transformers | 9,167 | ---
language:
- nl
tags:
- automatic-speech-recognition
- hf-asr-leaderboard
- model_for_talk
- mozilla-foundation/common_voice_8_0
- nl
- nl_BE
- nl_NL
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: xls-r-nl-v1-cv8-lm
results:
- task:
name: Automatic Speech Recogni... |
GD/cq-bert-model-repo | 6058c3537d6dc0ea8305100de6d7df5aa8f78f02 | 2021-05-18T18:40:31.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | GD | null | GD/cq-bert-model-repo | 16 | null | transformers | 9,168 | Entry not found |
Geotrend/bert-base-sw-cased | 7d9ca957a81d2449cf1319af0b91f75f11642336 | 2021-05-18T20:10:30.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"sw",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/bert-base-sw-cased | 16 | null | transformers | 9,169 | ---
language: sw
datasets: wikipedia
license: apache-2.0
---
# bert-base-sw-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/disti... |
Helsinki-NLP/opus-mt-cau-en | 593400efa7e1ae4f6cf96ed9ff1d524099a47ad5 | 2021-01-18T07:53:27.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ab",
"ka",
"ce",
"cau",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-cau-en | 16 | null | transformers | 9,170 | ---
language:
- ab
- ka
- ce
- cau
- en
tags:
- translation
license: apache-2.0
---
### cau-eng
* source group: Caucasian languages
* target group: English
* OPUS readme: [cau-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cau-eng/README.md)
* model: transformer
* source language(s)... |
Helsinki-NLP/opus-mt-de-el | ad3da773c26cf72780d46b4a75333226a19760e4 | 2021-09-09T21:30:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"el",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-el | 16 | null | transformers | 9,171 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-el
* source languages: de
* target languages: el
* OPUS readme: [de-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-el/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-cel | d1a4b332d5c90e1651d1e280dfb3a80b7ea07059 | 2021-01-18T08:05:58.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"gd",
"ga",
"br",
"kw",
"gv",
"cy",
"cel",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-cel | 16 | null | transformers | 9,172 | ---
language:
- en
- gd
- ga
- br
- kw
- gv
- cy
- cel
tags:
- translation
license: apache-2.0
---
### eng-cel
* source group: English
* target group: Celtic languages
* OPUS readme: [eng-cel](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cel/README.md)
* model: transformer
* source... |
Helsinki-NLP/opus-mt-en-iso | 8c635a5689d7815ecc3453d48e4dee1e367b60ad | 2021-09-09T21:36:23.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"iso",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-iso | 16 | null | transformers | 9,173 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-iso
* source languages: en
* target languages: iso
* OPUS readme: [en-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-iso/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-lun | 43db264508a6c6cd238433c9ba3b37d00e40d8b0 | 2021-09-09T21:37:16.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"lun",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-lun | 16 | null | transformers | 9,174 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-lun
* source languages: en
* target languages: lun
* OPUS readme: [en-lun](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lun/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-rnd | 28b5064598c0673a1c090c9e5f2a0263d112a6dd | 2021-09-09T21:38:40.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"rnd",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-rnd | 16 | null | transformers | 9,175 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-rnd
* source languages: en
* target languages: rnd
* OPUS readme: [en-rnd](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-rnd/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-es-bg | 7ae5fe6ec5bf8418cb17265f64a8311706679320 | 2021-01-18T08:22:14.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"bg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-bg | 16 | null | transformers | 9,176 | ---
language:
- es
- bg
tags:
- translation
license: apache-2.0
---
### spa-bul
* source group: Spanish
* target group: Bulgarian
* OPUS readme: [spa-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-bul/README.md)
* model: transformer
* source language(s): spa
* target language(s)... |
Helsinki-NLP/opus-mt-es-fj | 5e65adc44f3d16417b98961603e0e3e5a9289441 | 2021-09-09T21:42:23.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"fj",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-fj | 16 | null | transformers | 9,177 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-fj
* source languages: es
* target languages: fj
* OPUS readme: [es-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-fj/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-es-gil | 6830b9bb1c10b0aeddda5a868c1a80cbb51a5419 | 2021-09-09T21:42:34.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"gil",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-gil | 16 | null | transformers | 9,178 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-gil
* source languages: es
* target languages: gil
* OPUS readme: [es-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-gil/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-es-iso | 2be50239f12c54423830965a7b6d21224a732502 | 2021-09-09T21:43:13.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"iso",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-iso | 16 | null | transformers | 9,179 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-iso
* source languages: es
* target languages: iso
* OPUS readme: [es-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-iso/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-es-xh | e3d7a2282fb56f5e67f544b663b8b0c99ed5bdab | 2021-09-09T21:45:42.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"xh",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-xh | 16 | null | transformers | 9,180 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-xh
* source languages: es
* target languages: xh
* OPUS readme: [es-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-xh/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-euq-en | 998d513f5e3badcdb36381d4b161987e95b571b7 | 2021-01-18T08:31:22.000Z | [
"pytorch",
"marian",
"text2text-generation",
"euq",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-euq-en | 16 | null | transformers | 9,181 | ---
language:
- euq
- en
tags:
- translation
license: apache-2.0
---
### euq-eng
* source group: Basque (family)
* target group: English
* OPUS readme: [euq-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/euq-eng/README.md)
* model: transformer
* source language(s): eus
* target lang... |
Helsinki-NLP/opus-mt-fi-ru | d34952308f6510507b39b81818e07ab83c7d4f4d | 2021-09-09T21:50:24.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"ru",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-ru | 16 | null | transformers | 9,182 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-ru
* source languages: fi
* target languages: ru
* OPUS readme: [fi-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ru/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fiu-fiu | e97528e540d0b0527b643c9fea7da165ea79f044 | 2021-01-18T08:41:00.000Z | [
"pytorch",
"marian",
"text2text-generation",
"se",
"fi",
"hu",
"et",
"fiu",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fiu-fiu | 16 | null | transformers | 9,183 | ---
language:
- se
- fi
- hu
- et
- fiu
tags:
- translation
license: apache-2.0
---
### fiu-fiu
* source group: Finno-Ugrian languages
* target group: Finno-Ugrian languages
* OPUS readme: [fiu-fiu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-fiu/README.md)
* model: transformer
* ... |
Helsinki-NLP/opus-mt-fr-bcl | ce60f394625acd7cc59cbdcf1766ae5d7d698ecf | 2021-09-09T21:52:53.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"bcl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-bcl | 16 | null | transformers | 9,184 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-bcl
* source languages: fr
* target languages: bcl
* OPUS readme: [fr-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-bcl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-ilo-fi | 737504a377f6cbc1d343dabb08fc8ee4a51c0ee2 | 2021-09-09T22:12:01.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ilo",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ilo-fi | 16 | null | transformers | 9,185 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ilo-fi
* source languages: ilo
* target languages: fi
* OPUS readme: [ilo-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ilo-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-kab-en | a35e4ac154b973afd28e971dbaabdea228a7da47 | 2021-09-10T13:53:34.000Z | [
"pytorch",
"marian",
"text2text-generation",
"kab",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-kab-en | 16 | null | transformers | 9,186 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-kab-en
* source languages: kab
* target languages: en
* OPUS readme: [kab-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kab-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-kwn-en | 1cb7ac7558ae7f2c7bedafe47d8b46572aeef605 | 2021-09-10T13:54:24.000Z | [
"pytorch",
"marian",
"text2text-generation",
"kwn",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-kwn-en | 16 | null | transformers | 9,187 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-kwn-en
* source languages: kwn
* target languages: en
* OPUS readme: [kwn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwn-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-nic-en | 9127f7835c52a5389bd8e6c5f27dd44f6b010230 | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sn",
"rw",
"wo",
"ig",
"sg",
"ee",
"zu",
"lg",
"ts",
"ln",
"ny",
"yo",
"rn",
"xh",
"nic",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-nic-en | 16 | null | transformers | 9,188 | ---
language:
- sn
- rw
- wo
- ig
- sg
- ee
- zu
- lg
- ts
- ln
- ny
- yo
- rn
- xh
- nic
- en
tags:
- translation
license: apache-2.0
---
### nic-eng
* source group: Niger-Kordofanian languages
* target group: English
* OPUS readme: [nic-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models... |
Helsinki-NLP/opus-mt-sv-nl | 943288a8d7959a1bb49be2d7a288ef1af0d4abe4 | 2021-09-10T14:08:29.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"nl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-nl | 16 | null | transformers | 9,189 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-nl
* source languages: sv
* target languages: nl
* OPUS readme: [sv-nl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-nl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-tvl-en | f9a9b5dc37025ce839d91c066c3e5198cbcf5747 | 2021-09-11T10:50:22.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tvl",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tvl-en | 16 | null | transformers | 9,190 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tvl-en
* source languages: tvl
* target languages: en
* OPUS readme: [tvl-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-ve-en | 35d134d0489f1503333835c46c10f7f724515c50 | 2021-09-11T10:51:37.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ve",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ve-en | 16 | 1 | transformers | 9,191 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ve-en
* source languages: ve
* target languages: en
* OPUS readme: [ve-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ve-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-zh-sv | 96cdf47752b6449a806039ca62c9aa541913c575 | 2020-08-21T14:42:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"zh",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-zh-sv | 16 | null | transformers | 9,192 | ---
language:
- zh
- sv
tags:
- translation
license: apache-2.0
---
### zho-swe
* source group: Chinese
* target group: Swedish
* OPUS readme: [zho-swe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-swe/README.md)
* model: transformer-align
* source language(s): cmn cmn_Bopo cmn_Han... |
KBLab/bert-base-swedish-cased-squad-experimental | 80399822d04785fc66ab4e214159808204e1acf0 | 2021-05-18T21:21:57.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | KBLab | null | KBLab/bert-base-swedish-cased-squad-experimental | 16 | null | transformers | 9,193 | Entry not found |
KoichiYasuoka/roberta-base-japanese-aozora | 3e995c5d15bdcac6df150a943d8b5cd35c783b8e | 2022-02-13T02:02:34.000Z | [
"pytorch",
"roberta",
"fill-mask",
"ja",
"transformers",
"japanese",
"masked-lm",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | KoichiYasuoka | null | KoichiYasuoka/roberta-base-japanese-aozora | 16 | null | transformers | 9,194 | ---
language:
- "ja"
tags:
- "japanese"
- "masked-lm"
license: "cc-by-sa-4.0"
pipeline_tag: "fill-mask"
mask_token: "[MASK]"
widget:
- text: "日本に着いたら[MASK]を訪ねなさい。"
---
# roberta-base-japanese-aozora
## Model Description
This is a RoBERTa model pre-trained on 青空文庫 texts with [Japanese-LUW-Tokenizer](https://github.co... |
Matthijsvanhof/bert-base-dutch-cased-finetuned-NER | dcbaef9c349ae1be1f5b533450b14cbbc33e120f | 2021-11-27T22:13:13.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | Matthijsvanhof | null | Matthijsvanhof/bert-base-dutch-cased-finetuned-NER | 16 | null | transformers | 9,195 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-dutch-cased-finetuned-NER
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 r... |
NYTK/sentiment-hts5-hubert-hungarian | 074fff77a6a871d46322192462eb7fba1144c0e3 | 2022-01-26T13:18:49.000Z | [
"pytorch",
"bert",
"text-classification",
"hu",
"transformers",
"license:gpl"
] | text-classification | false | NYTK | null | NYTK/sentiment-hts5-hubert-hungarian | 16 | null | transformers | 9,196 | ---
language:
- hu
tags:
- text-classification
license: gpl
metrics:
- accuracy
widget:
- text: "Jó reggelt! majd küldöm az élményhozókat :)."
---
# Hungarian Sentence-level Sentiment Analysis model with huBERT
For further models, scripts and details, see [our repository](https://github.com/nytud/sentiment-analy... |
PremalMatalia/roberta-base-best-squad2 | 15bc545a70ee587dc6930c3677c3420edf4fda1b | 2021-08-04T18:54:35.000Z | [
"pytorch",
"roberta",
"question-answering",
"dataset:squad_v2",
"transformers",
"autotrain_compatible"
] | question-answering | false | PremalMatalia | null | PremalMatalia/roberta-base-best-squad2 | 16 | 1 | transformers | 9,197 | ---
datasets:
- squad_v2
---
# RoBERTa-base for QA
## Overview
**Language model:** 'roberta-base' </br>
**Language:** English </br>
**Downstream-task:** Extractive QA </br>
**Training data:** SQuAD 2.0 </br>
**Eval data:** SQuAD 2.0 </br>
**Code:** <TBD> </br>
## Env Information
`transformers` version: 4.9.1 </br>
P... |
SEBIS/code_trans_t5_small_code_documentation_generation_java | 1e77edf2b3efbff4135e04f2d3a3157849b666d6 | 2021-06-23T10:00:26.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_small_code_documentation_generation_java | 16 | null | transformers | 9,198 | ---
tags:
- summarization
widget:
- text: "public static < T , U > Function < T , U > castFunction ( Class < U > target ) { return new CastToClass < T , U > ( target ) ; }"
---
# CodeTrans model for code documentation generation java
Pretrained model on programming language java using the t5 small model architectur... |
TehranNLP/xlnet-base-cased-mnli | faa85bf85bc85d3b4762c6dc0688c679c7715a25 | 2021-06-03T08:36:16.000Z | [
"pytorch",
"xlnet",
"text-classification",
"transformers"
] | text-classification | false | TehranNLP | null | TehranNLP/xlnet-base-cased-mnli | 16 | null | transformers | 9,199 | Entry not found |
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