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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
wietsedv/bert-base-multilingual-cased-finetuned-sonar-ner | 247c6edf286841fa9c7476be35c6bba510571ff1 | 2021-05-20T09:15:08.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | wietsedv | null | wietsedv/bert-base-multilingual-cased-finetuned-sonar-ner | 14 | 1 | transformers | 9,900 | Entry not found |
yechen/bert-base-chinese-jinyong | 6c3ab99a0f88fb30447dc0611ad04547a8ebd4fc | 2021-05-20T09:20:01.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"zh",
"transformers",
"autotrain_compatible"
] | fill-mask | false | yechen | null | yechen/bert-base-chinese-jinyong | 14 | null | transformers | 9,901 | ---
language: zh
---
|
inovex/multi2convai-logistics-de-bert | a10d6b5a0cdcfec7cfdd0af294791f2b556e7e17 | 2022-03-01T08:53:44.000Z | [
"pytorch",
"bert",
"text-classification",
"de",
"transformers",
"license:mit"
] | text-classification | false | inovex | null | inovex/multi2convai-logistics-de-bert | 14 | null | transformers | 9,902 | ---
tags:
- text-classification
widget:
- text: "Wo kann ich das Paket ablegen?"
license: mit
language: de
---
# Multi2ConvAI-Logistics: finetuned Bert for German
This model was developed in the [Multi2ConvAI](https://multi2conv.ai) project:
- domain: Logistics (more details about our use cases: ([en](ht... |
ghadeermobasher/BC5CDR-Disease-Modified_biobert-v1.1 | c2a32f7edfb3e46b7058802f5a333b7ac102b86a | 2022-02-25T18:25:56.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Disease-Modified_biobert-v1.1 | 14 | null | transformers | 9,903 | Entry not found |
bookbot/distil-wav2vec2-adult-child-cls-52m | 9d08da904f0bc62228591b5486fc7579a39406ca | 2022-02-26T13:48:48.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"audio-classification",
"en",
"arxiv:2006.11477",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | audio-classification | false | bookbot | null | bookbot/distil-wav2vec2-adult-child-cls-52m | 14 | null | transformers | 9,904 | ---
language: en
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distil-wav2vec2-adult-child-cls-52m
results: []
---
# DistilWav2Vec2 Adult/Child Speech Classifier 52M
DistilWav2Vec2 Adult/Child Speech Classifier is an audio classif... |
bullmount/hseBert-it-cased | 17c2194c6c181634fba88ab1dad03e81e66ef5f7 | 2022-02-27T18:08:11.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"it",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | bullmount | null | bullmount/hseBert-it-cased | 14 | null | transformers | 9,905 | ---
language: it
license: mit
widget:
- text: "È stata pubblicata la [MASK] di conversione del D.L. 24 dicembre 2021 n. 221 ."
- text: "La legge fornisce l’esatta [MASK] di Green pass base."
- text: "Il datore di lavoro organizza e predispone i posti di lavoro di cui all'articolo 173, in [MASK] ai requisiti minimi di ... |
Kiran146/distilbert-base-uncased-finetuned-emotion | 1b2749fa693e6ea2505de92cde014cf983883e4a | 2022-02-28T17:30:35.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Kiran146 | null | Kiran146/distilbert-base-uncased-finetuned-emotion | 14 | null | transformers | 9,906 | ---
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... |
ghadeermobasher/BC5CDR-Chem2-Modified_BiomedNLP-PubMedBERT-base-uncased-abstract | 924e0949a0c8de63609e1199c399d6380f7242a7 | 2022-03-01T06:46:43.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chem2-Modified_BiomedNLP-PubMedBERT-base-uncased-abstract | 14 | null | transformers | 9,907 | Entry not found |
davanstrien/convnext_manuscript_iiif | 6c2da8478fafd75d3b12e13badfeb6b1a1306b2f | 2022-03-08T02:21:52.000Z | [
"pytorch",
"convnext",
"image-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | davanstrien | null | davanstrien/convnext_manuscript_iiif | 14 | null | transformers | 9,908 | ---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
metrics:
- f1
model-index:
- name: convnext_manuscript_iiif
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... |
Ayou/chinese_mobile_bert | 34618c0214ac41f7e13d5ffc89ad634e16afb25a | 2022-03-04T12:49:12.000Z | [
"pytorch",
"mobilebert",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Ayou | null | Ayou/chinese_mobile_bert | 14 | 1 | transformers | 9,909 | ---
license: apache-2.0
---
在2.5亿的中文语料上，进行mobie_bert进行预训练。在单卡-A100下迭代100万 steps,训练15天。 |
LukasStankevicius/ByT5-Lithuanian-gec-100h | 3d2fc303c10482409f1b63adc030c5cefd1fd071 | 2022-07-28T05:55:59.000Z | [
"pytorch",
"t5",
"text2text-generation",
"lt",
"transformers",
"byt5",
"Lithuanian",
"grammatical error correction",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | LukasStankevicius | null | LukasStankevicius/ByT5-Lithuanian-gec-100h | 14 | null | transformers | 9,910 | ---
language: lt
tags:
- byt5
- Lithuanian
- grammatical error correction
widget:
- text: 'Sveiki pardodu tvarkyngą "Audi" firmos automobylį. Kątik iš Amerikės. Viena savininka prižiurietas ir mylietas Automobylis. Dar turu patobulintą „Mersedes“ su automatinia greičių pavara už 4000 evrų (iš Amerikės). Taippat tvarkin... |
saattrupdan/wav2vec2-xls-r-300m-ftspeech | 73d80f53cfa83e395949f51673a58e07ac433679 | 2022-03-21T17:30:21.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"da",
"dataset:ftspeech",
"transformers",
"license:other",
"model-index"
] | automatic-speech-recognition | false | saattrupdan | null | saattrupdan/wav2vec2-xls-r-300m-ftspeech | 14 | null | transformers | 9,911 | ---
language:
- da
license: other
tasks:
- automatic-speech-recognition
datasets:
- ftspeech
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-300m-ftspeech
results:
- task:
type: automatic-speech-recognition
dataset:
type: mozilla-foundation/common_voice_8_0
args: da
name: Danish Comm... |
gdario/distilbert-base-uncased-finetuned-emotion | eba29ac185b44875bc2f5a9a53db5f02f5c60c51 | 2022-06-25T09:24:49.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | gdario | null | gdario/distilbert-base-uncased-finetuned-emotion | 14 | null | transformers | 9,912 | ---
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... |
gayanin/bart-paraphrasing-mlm | 3ff29962918d3886b04c734943a314f915f6b853 | 2022-03-07T21:40:56.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | gayanin | null | gayanin/bart-paraphrasing-mlm | 14 | null | transformers | 9,913 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-paraphrasing-mlm
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. -->
# bart-paraphra... |
MikhailGalperin/distilbert-base-uncased-finetuned-ner | 5b7d5feb69b6cc5bd95fcfadffd0bb806b4c1c96 | 2022-03-08T06:49:43.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | MikhailGalperin | null | MikhailGalperin/distilbert-base-uncased-finetuned-ner | 14 | null | transformers | 9,914 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
model-index:
- name: distilbert-base-uncased-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 rem... |
davanstrien/dit-base-manuscripts | 96f015a5b13b48267d031b93fb6b0cde838d9f24 | 2022-03-09T10:08:42.000Z | [
"pytorch",
"tensorboard",
"deit",
"transformers",
"masked-image-modeling",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | null | false | davanstrien | null | davanstrien/dit-base-manuscripts | 14 | null | transformers | 9,915 | ---
license: apache-2.0
tags:
- masked-image-modeling
- generated_from_trainer
model-index:
- name: dit-base-manuscripts
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... |
mrm8488/spanish-TinyBERT-betito-finetuned-xnli-es | 6613ab5adf4570fe7ed9291fe5aafcf0f1de7b8a | 2022-03-09T07:29:03.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:xnli",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | mrm8488 | null | mrm8488/spanish-TinyBERT-betito-finetuned-xnli-es | 14 | null | transformers | 9,916 | ---
tags:
- generated_from_trainer
datasets:
- xnli
metrics:
- accuracy
model-index:
- name: spanish-TinyBERT-betito-finetuned-xnli-es
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: xnli
type: xnli
args: es
metrics:
- name: Accuracy
... |
zuppif/maskformer-swin-small-ade | f4097ad31123b84e35d4f9e977f746fa703c12ab | 2022-07-06T07:24:51.000Z | [
"pytorch",
"maskformer",
"transformers",
"object-detection",
"COCO",
"YOLO",
"Darknet",
"model-index"
] | object-detection | false | zuppif | null | zuppif/maskformer-swin-small-ade | 14 | null | transformers | 9,917 | ---
tags:
- object-detection
- COCO
- YOLO
- Darknet
model-index:
- name: moon
results:
- metrics:
- type: mAP
value: 1
name: mAP
task:
type: object-detection
name: object-detection
dataset:
name: COCO
type: COCO
---
|
MrAnderson/bert-base-1024-full-trivia-copied-embeddings | dcafbe148e665eb18159d9248bfa71cb0d42037e | 2022-03-11T22:05:33.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | MrAnderson | null | MrAnderson/bert-base-1024-full-trivia-copied-embeddings | 14 | null | transformers | 9,918 | Entry not found |
StivenLancheros/Biobert-base-cased-v1.2-finetuned-ner-CRAFT_es_en | f65c87461ee480975a97674f1a47b4f43adca6cf | 2022-03-12T11:40:00.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | StivenLancheros | null | StivenLancheros/Biobert-base-cased-v1.2-finetuned-ner-CRAFT_es_en | 14 | null | transformers | 9,919 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: Biobert-base-cased-v1.2-finetuned-ner-CRAFT_es_en
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and compl... |
negfir/distilbert-base-uncased-finetuned-cola | a7cddf4e81a9a44c899f81b98f5072b090df106d | 2022-03-24T00:39:00.000Z | [
"pytorch",
"tf",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_keras_callback",
"model-index"
] | text-classification | false | negfir | null | negfir/distilbert-base-uncased-finetuned-cola | 14 | null | transformers | 9,920 | ---
tags:
- generated_from_keras_callback
model-index:
- name: negfir/distilbert-base-uncased-finetuned-cola
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# negfir/d... |
cambridgeltl/guardian_news_bert-base-uncased | 7fa82b67d7680ca4026c56a730ba77ea48b3483b | 2022-03-15T17:15:14.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | cambridgeltl | null | cambridgeltl/guardian_news_bert-base-uncased | 14 | null | transformers | 9,921 | Entry not found |
StivenLancheros/biobert-base-cased-v1.2-finetuned-ner-CRAFT_Augmented_ES | d7dcf9c3b374c4893ec6f0a50529bd70d0087638 | 2022-03-17T14:49:03.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | StivenLancheros | null | StivenLancheros/biobert-base-cased-v1.2-finetuned-ner-CRAFT_Augmented_ES | 14 | null | transformers | 9,922 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: biobert-base-cased-v1.2-finetuned-ner-CRAFT_Augmented_ES
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread an... |
Amo/gpt-neo-125m-mlp-micro | 30c914b11203da0db8a7404a4d947ba04bdc77b2 | 2022-03-19T08:51:57.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | Amo | null | Amo/gpt-neo-125m-mlp-micro | 14 | null | transformers | 9,923 | Entry not found |
vinaykudari/distilGPT-ft-eli5 | a58e57900a73910d982becbaeb2d284896b1bab7 | 2022-03-19T17:24:50.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | vinaykudari | null | vinaykudari/distilGPT-ft-eli5 | 14 | null | transformers | 9,924 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilGPT-ft-eli5
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. -->
# distilGPT-ft-eli5... |
ahmeddbahaa/t5-small-finetuned-xlsum-en | 99e2f7d583ede30df3c82c8680fbf17655051779 | 2022-03-22T19:51:49.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:xlsum",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | ahmeddbahaa | null | ahmeddbahaa/t5-small-finetuned-xlsum-en | 14 | 1 | transformers | 9,925 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- xlsum
metrics:
- rouge
model-index:
- name: t5-small-finetuned-xlsum-en
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: xlsum
type: xlsum
args:... |
Roshan777/finetuning-sentiment-model-300-samples | 3a0f54c98fbeeb35054d634e073d200254ac494e | 2022-03-26T12:54:48.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Roshan777 | null | Roshan777/finetuning-sentiment-model-300-samples | 14 | null | transformers | 9,926 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-300-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
metr... |
vumichien/token-classification-bigbird-roberta-base-random | b34badb20694d2c9849c63b060f7a95e9296bbcd | 2022-03-25T03:23:28.000Z | [
"pytorch",
"big_bird",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | vumichien | null | vumichien/token-classification-bigbird-roberta-base-random | 14 | null | transformers | 9,927 | Entry not found |
alefiury/wav2vec2-large-xlsr-53-coraa-brazilian-portuguese-gain-normalization-sna | 3c219fa6ffd827bba2568eb19a1f9207c2c4b79e | 2022-04-05T16:59:13.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"pt",
"dataset:CORAA",
"dataset:common_voice",
"dataset:mls",
"dataset:cetuc",
"dataset:voxforge",
"transformers",
"audio",
"speech",
"portuguese-speech-corpus",
"PyTorch",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | alefiury | null | alefiury/wav2vec2-large-xlsr-53-coraa-brazilian-portuguese-gain-normalization-sna | 14 | 1 | transformers | 9,928 | ---
language: pt
datasets:
- CORAA
- common_voice
- mls
- cetuc
- voxforge
metrics:
- wer
tags:
- audio
- speech
- wav2vec2
- pt
- portuguese-speech-corpus
- automatic-speech-recognition
- speech
- PyTorch
license: apache-2.0
model-index:
- name: Alef Iury XLSR Wav2Vec2 Large 53 Portuguese
resu... |
manu/lilt-camembert-base | 3e05da955eba893d4646c97cd7c44d1421626461 | 2022-03-30T14:49:30.000Z | [
"pytorch",
"liltrobertalike",
"fill-mask",
"fr",
"dataset:iit-cdip",
"transformers",
"token-classification",
"license:mit",
"autotrain_compatible"
] | token-classification | false | manu | null | manu/lilt-camembert-base | 14 | null | transformers | 9,929 | ---
language:
- fr
tags:
- token-classification
- fill-mask
license: mit
datasets:
- iit-cdip
---
This model is the combined camembert-base model, with the pretrained lilt checkpoint from the paper "LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding".
Original... |
bdunnette/derbynames-aitextgen | 186c941688e3f500996911570b36a2c9c7baff41 | 2022-04-04T19:27:12.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"license:cc-by-nc-sa-4.0"
] | text-generation | false | bdunnette | null | bdunnette/derbynames-aitextgen | 14 | null | transformers | 9,930 | ---
license: cc-by-nc-sa-4.0
---
|
abdusahmbzuai/ft-tatoeba-ar-en | 851da8800d4877252a22e919c91105c38ca70288 | 2022-04-10T15:34:36.000Z | [
"pytorch",
"tensorboard",
"m2m_100",
"text2text-generation",
"dataset:open_subtitles",
"transformers",
"translation",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | translation | false | abdusahmbzuai | null | abdusahmbzuai/ft-tatoeba-ar-en | 14 | null | transformers | 9,931 | ---
tags:
- translation
- generated_from_trainer
datasets:
- open_subtitles
model-index:
- name: ft-tatoeba-ar-en
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. -->
... |
CAiRE/wav2vec2-large-xlsr-53-cantonese | 000930f74d91d06cd347218c8413b9756a3be239 | 2022-06-09T10:55:08.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"zh-HK",
"yue",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | CAiRE | null | CAiRE/wav2vec2-large-xlsr-53-cantonese | 14 | 2 | transformers | 9,932 | ---
language:
- zh-HK
- yue
datasets:
- common_voice
metrics:
- cer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Wav2Vec2-Large-XLSR-53-Cantonese
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
d... |
obokkkk/kobigbird-bert-base-finetuned-klue | 1f6083dfc29c4dc6b371b8a58b9850f0934eaeae | 2022-04-12T10:07:16.000Z | [
"pytorch",
"big_bird",
"question-answering",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | obokkkk | null | obokkkk/kobigbird-bert-base-finetuned-klue | 14 | null | transformers | 9,933 | ---
tags:
- generated_from_trainer
model-index:
- name: kobigbird-bert-base-finetuned-klue
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. -->
# kobigbird-bert-base-... |
westphal-jan/roberta-base-mnli | efdcedd0102c605cae84cd03b6619a5784e38791 | 2022-04-13T13:22:05.000Z | [
"pytorch",
"tf",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | westphal-jan | null | westphal-jan/roberta-base-mnli | 14 | null | transformers | 9,934 | Entry not found |
omar47/wav2vec2-large-xls-r-300m-urdu-colab-cv8 | 5779938327a2fbaf4067857f341c859e431a2b23 | 2022-04-20T02:57:47.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | omar47 | null | omar47/wav2vec2-large-xls-r-300m-urdu-colab-cv8 | 14 | null | transformers | 9,935 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-urdu-colab-cv8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... |
Manishkalra/finetuning-sentiment-model-3000-samples | 6c2209e78818feded6f7617ff4394342bf0bb0e3 | 2022-04-14T11:04:35.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Manishkalra | null | Manishkalra/finetuning-sentiment-model-3000-samples | 14 | null | transformers | 9,936 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... |
stevems1/distilroberta-base-SmithsModel | 58c4bf9998c1628775cf3ae0e8a1ecadd8184b93 | 2022-04-17T11:08:15.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | stevems1 | null | stevems1/distilroberta-base-SmithsModel | 14 | null | transformers | 9,937 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-SmithsModel
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. -->
# dist... |
ChrisZeng/electra-large-discriminator-nli-efl-tweeteval | 3da15e375bcc1a4383a487d270380b1d3b1cbc58 | 2022-04-20T02:05:43.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | ChrisZeng | null | ChrisZeng/electra-large-discriminator-nli-efl-tweeteval | 14 | null | transformers | 9,938 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: electra-large-discriminator-nli-efl-tweeteval
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 ... |
zafercavdar/distilbert-base-turkish-cased-emotion | d10ad71ee7fca4c4c3462c968a839a388542a859 | 2022-04-19T22:03:18.000Z | [
"pytorch",
"distilbert",
"text-classification",
"tr",
"dataset:emotion (Translated to Turkish)",
"transformers",
"emotion"
] | text-classification | false | zafercavdar | null | zafercavdar/distilbert-base-turkish-cased-emotion | 14 | 2 | transformers | 9,939 | ---
language:
- tr
thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
tags:
- text-classification
- emotion
- pytorch
datasets:
- emotion (Translated to Turkish)
metrics:
- Accuracy, F1 Score
---
# distilbert-base-turkish-cased-emotion
## Model descriptio... |
mwong/climatebert-base-f-fever-evidence-related | 9dbf55fb72a17bb33566384e44dd32876e2228fa | 2022-06-24T03:31:36.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:mwong/fever-evidence-related",
"transformers",
"text classification",
"fact checking",
"license:mit"
] | text-classification | false | mwong | null | mwong/climatebert-base-f-fever-evidence-related | 14 | 1 | transformers | 9,940 | ---
language: en
license: mit
tags:
- text classification
- fact checking
datasets:
- mwong/fever-evidence-related
widget:
- text: "Earth’s changing climate is a critical issue and poses the risk of significant environmental, social and economic disruptions around the globe.</s></s>Because of fears of climate change an... |
RajaRang/distilbert-base-uncased-finetuned-emotion | b4b63d9f2005928910132fb323f15f8b6b545b44 | 2022-04-21T14:43:14.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | RajaRang | null | RajaRang/distilbert-base-uncased-finetuned-emotion | 14 | null | transformers | 9,941 | ---
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... |
Sarim24/distilbert-base-uncased-finetuned-emotion | 045e24c0fd3ba6e841e9e7ff371e3e99e09baf4d | 2022-07-13T13:03:09.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Sarim24 | null | Sarim24/distilbert-base-uncased-finetuned-emotion | 14 | 1 | transformers | 9,942 | |
mrm8488/convnext-tiny-finetuned-beans | 66af9fdbba4365ace630be92b147e3bc9a2c5e8d | 2022-04-25T13:32:06.000Z | [
"pytorch",
"tensorboard",
"convnext",
"image-classification",
"dataset:beans",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | mrm8488 | null | mrm8488/convnext-tiny-finetuned-beans | 14 | 1 | transformers | 9,943 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- beans
metrics:
- accuracy
model-index:
- name: convnext-tiny-finetuned-beans
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: beans
type: beans
args: default
metrics:
- n... |
UT/BRTW | 83508ba3e76bdb08b6612f690ed701336858bb38 | 2022-04-25T17:24:05.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | UT | null | UT/BRTW | 14 | null | transformers | 9,944 | Entry not found |
yihsuan/best_model_0426_small | 3e9347373c4981807c9cff6a2de6816a1755bea2 | 2022-04-27T06:04:35.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"zh",
"transformers",
"summarization",
"mT5",
"autotrain_compatible"
] | summarization | false | yihsuan | null | yihsuan/best_model_0426_small | 14 | null | transformers | 9,945 | ---
tags:
- summarization
- mT5
language:
- zh
widget:
- text: "專家稱維康桑格研究所(Wellcome Sanger Institute)的上述研究發現「令人震驚」而且「發人深省」。基因變異指關於我們身體成長和管理的相關指令，也就是DNA當中發生的變化。長期以來，變異一直被當作癌症的根源，但是數十年來關於變異是否對衰老有重要影響一直存在爭論。桑格研究所的研究人員說他們得到了「第一個試驗性證據」，證明了兩者的關係。他們分析了預期壽命各異的物種基因變異的不同速度。研究人員分析了貓、黑白疣猴、狗、雪貂、長頸鹿、馬、人、獅子、裸鼴鼠、兔子、老鼠、環尾狐猴和老虎等十幾種動物的DN... |
dmjimenezbravo/electricidad-small-finetuned-restaurant-sentiment-analysis-usElectionTweets1Jul11Nov-spanish | f4d475bae8125d2d4d38b0e72b4df972f9a1f9f2 | 2022-04-27T17:01:40.000Z | [
"pytorch",
"tensorboard",
"electra",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | dmjimenezbravo | null | dmjimenezbravo/electricidad-small-finetuned-restaurant-sentiment-analysis-usElectionTweets1Jul11Nov-spanish | 14 | null | transformers | 9,946 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: electricidad-small-finetuned-restaurant-sentiment-analysis-usElectionTweets1Jul11Nov-spanish
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probab... |
BigSalmon/Concise | a2dfe50d64305ef9c5e596fa4137202c47fce0dd | 2022-05-01T01:33:50.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | BigSalmon | null | BigSalmon/Concise | 14 | null | transformers | 9,947 | how to start prompt:
```
wordy:
```
example:
```
wordy: the ndp has turned into the country's darling of the young.
```
output:
```
the ndp is youth-driven.
``` |
patrickvonplaten/wav2vec2-conformer-rope-large-960h-ft-4-gram | b285424449c311a867bb87d57645c8d58a527149 | 2022-05-24T11:10:41.000Z | [
"pytorch",
"wav2vec2-conformer",
"automatic-speech-recognition",
"en",
"dataset:librispeech_asr",
"transformers",
"speech",
"audio",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/wav2vec2-conformer-rope-large-960h-ft-4-gram | 14 | null | transformers | 9,948 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
license: apache-2.0
model-index:
- name: wav2vec2-conformer-rope-large-960h-ft-4-gram
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset... |
nloc2578/pegasus-question-generator | cdca805f3ef6323f09db4ad4b19a2c5a5f363f67 | 2022-05-02T15:09:37.000Z | [
"pytorch",
"tensorboard",
"pegasus",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | nloc2578 | null | nloc2578/pegasus-question-generator | 14 | null | transformers | 9,949 | ---
tags:
- generated_from_trainer
model-index:
- name: pegasus-question-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. -->
# pegasus-question-generator
... |
enimai/mbart-large-50-paraphrase-finetuned-for-de | 9f477e27191e453e4e04454925fce94f8c6670e3 | 2022-05-03T16:53:49.000Z | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | enimai | null | enimai/mbart-large-50-paraphrase-finetuned-for-de | 14 | null | transformers | 9,950 | ---
license: apache-2.0
---
|
svalabs/twitter-xlm-roberta-crypto-spam | 101aee11e6fce970064619ac728a0ad759acbe7c | 2022-05-04T13:47:31.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | false | svalabs | null | svalabs/twitter-xlm-roberta-crypto-spam | 14 | null | transformers | 9,951 | Entry not found |
CarlCochet/trajectory-transformer-hopper-medium-expert-v2 | 81424ac7fe308cef789534a7987fd4c2efe681a7 | 2022-05-12T17:04:17.000Z | [
"pytorch",
"trajectory_transformer",
"feature-extraction",
"transformers",
"license:mit"
] | feature-extraction | false | CarlCochet | null | CarlCochet/trajectory-transformer-hopper-medium-expert-v2 | 14 | null | transformers | 9,952 | ---
license: mit
---
|
airi/bert-finetuned-ner | d9a98ad8fd36df5e4e7bc07d52319eb7c5fcb90d | 2022-05-08T08:59:35.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | airi | null | airi/bert-finetuned-ner | 14 | null | transformers | 9,953 | ---
tags:
- generated_from_trainer
model-index:
- name: bert-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 remove this comment. -->
# bert-finetuned-ner
This model is a ... |
Jiexing/spider_relation_t5_3b-3392 | 904314792e4bdc0ba6149ae30c719e149339cb2e | 2022-05-08T04:04:57.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Jiexing | null | Jiexing/spider_relation_t5_3b-3392 | 14 | null | transformers | 9,954 | Entry not found |
Jeevesh8/bert_ft_qqp-5 | cf32fe6192160ff900765602e6d152c71ef88afe | 2022-05-09T09:42:49.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/bert_ft_qqp-5 | 14 | null | transformers | 9,955 | Entry not found |
peter2000/roberta-base-finetuned-osdg | 36863192d713fc744c592267badb4ecdaf71e726 | 2022-05-12T15:58:50.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | peter2000 | null | peter2000/roberta-base-finetuned-osdg | 14 | null | transformers | 9,956 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: roberta-base-finetuned-osdg
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. -->
# roberta-base-f... |
uaritm/df_lik_n_mg_221 | 7f9e49cf776e679c026cac2aca76d8317e6b2c22 | 2022-05-09T18:37:49.000Z | [
"pytorch",
"t5",
"text2text-generation",
"ru",
"uk",
"transformers",
"russian",
"ukrainian",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | uaritm | null | uaritm/df_lik_n_mg_221 | 14 | null | transformers | 9,957 | ---
language: ["ru", "uk"]
tags:
- russian
- ukrainian
license: mit
---
# A little about the model
The model is trained to answer questions about health topics (Open-book question answering-comprehend).
cointegrated/rut5-base-multitask
For training, a compact T5 model was used: cointegrated/rut5-base-multitask
The ... |
eslamxm/mt5-base-finetuned-urdu | 533d98cdd18b22febc73192a11289c87bd79e7fe | 2022-06-14T18:12:44.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"dataset:xlsum",
"transformers",
"summarization",
"urdu",
"ur",
"Abstractive Summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | eslamxm | null | eslamxm/mt5-base-finetuned-urdu | 14 | null | transformers | 9,958 | ---
license: apache-2.0
tags:
- summarization
- urdu
- ur
- mt5
- Abstractive Summarization
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: mt5-base-finetuned-urdu
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should ... |
CEBaB/bert-base-uncased.CEBaB.sa.3-class.exclusive.seed_77 | ac500cd5e07cb38da8f2cd805c74931314516d74 | 2022-05-11T01:22:57.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | CEBaB | null | CEBaB/bert-base-uncased.CEBaB.sa.3-class.exclusive.seed_77 | 14 | null | transformers | 9,959 | Entry not found |
ncfrey/ChemGPT-19M | 08876002a3a2e6f47cc454ba4153c6cffb6dd206 | 2022-06-15T15:19:57.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"chemistry"
] | text-generation | false | ncfrey | null | ncfrey/ChemGPT-19M | 14 | null | transformers | 9,960 | ---
tags:
- chemistry
---
# ChemGPT 19M
ChemGPT is based on the GPT-Neo model and was introduced in the paper [Neural Scaling of Deep Chemical Models](https://chemrxiv.org/engage/chemrxiv/article-details/627bddd544bdd532395fb4b5).
## Model description
ChemGPT is a transformers model for generative molecular modeling... |
beltran/finetuning-sentiment-model-3000-samples | 79d04ba49ea0e08c173e6f6c21ec693cb0c3ef95 | 2022-05-13T10:29:10.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | beltran | null | beltran/finetuning-sentiment-model-3000-samples | 14 | null | transformers | 9,961 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... |
edwardgowsmith/roberta-base-unigram-prime | dce8af31825cf0e44c8e8fb69b976b4e38acb718 | 2022-05-13T12:31:41.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | edwardgowsmith | null | edwardgowsmith/roberta-base-unigram-prime | 14 | null | transformers | 9,962 | Entry not found |
buehlpa/bert-finetuned-ner | 26bb02495e29b23b169d080feac9355cb8f0cf2f | 2022-05-14T11:06:59.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | buehlpa | null | buehlpa/bert-finetuned-ner | 14 | null | transformers | 9,963 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: c... |
reallycarlaost/emobert-valence-5 | 160420ad23055846e681c23c5993467400e342f7 | 2022-05-14T17:18:33.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | reallycarlaost | null | reallycarlaost/emobert-valence-5 | 14 | null | transformers | 9,964 | Entry not found |
Tititun/consumer_super | ed4d3071ffc7b1e3068970eebd6f01c395c2cd8c | 2022-05-16T04:46:12.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | Tititun | null | Tititun/consumer_super | 14 | null | transformers | 9,965 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: consumer_super
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. -->
# consumer_super
This model ... |
MrBananaHuman/prompt_gpt2 | 8216283d4d6c768a60964e1371d2f2865aa4d5fb | 2022-05-17T12:25:50.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | MrBananaHuman | null | MrBananaHuman/prompt_gpt2 | 14 | null | transformers | 9,966 | Entry not found |
charsiu/g2p_multilingual_byT5_tiny_16_layers | 4f069a19c28b65f9caea87d2aa8b3869742f0a26 | 2022-05-19T05:02:39.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | charsiu | null | charsiu/g2p_multilingual_byT5_tiny_16_layers | 14 | null | transformers | 9,967 | Entry not found |
MrVicente/bart_qa_assistant | 5e454d81c6e3659aafc9b64bade437d6be63ce7f | 2022-05-24T18:40:43.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:eli5",
"dataset:stackexchange(pets, cooking, gardening, diy, crafts)",
"transformers",
"generative qa",
"autotrain_compatible"
] | text2text-generation | false | MrVicente | null | MrVicente/bart_qa_assistant | 14 | null | transformers | 9,968 | ---
language: en
tags:
- generative qa
datasets:
- eli5
- stackexchange(pets, cooking, gardening, diy, crafts)
---
Work by [Frederico Vicente](https://huggingface.co/mrvicente) & [Diogo Tavares](https://huggingface.co/d-c-t). We finetuned BART Large for the task of generative question answering. It was trained on eli5... |
aiola/roberta-large-corener | 2c46b4e538608a6e7246e0ad1e70d3da1f069022 | 2022-07-03T14:16:17.000Z | [
"pytorch",
"roberta",
"fill-mask",
"en",
"dataset:Ontonotes",
"dataset:CoNLL04",
"transformers",
"NER",
"named entity recognition",
"RE",
"relation extraction",
"entity mention detection",
"EMD",
"coreference resolution",
"license:afl-3.0",
"autotrain_compatible"
] | fill-mask | false | aiola | null | aiola/roberta-large-corener | 14 | null | transformers | 9,969 | ---
language:
- en
tags:
- NER
- named entity recognition
- RE
- relation extraction
- entity mention detection
- EMD
- coreference resolution
license: afl-3.0
datasets:
- Ontonotes
- CoNLL04
---
# CoReNer
## Demo
We released an online demo so you can easily play with the model. Check it out: [http://corener-demo.ai... |
Andyrasika/distilbert-base-uncased-finetuned-emotion | 56e71813e2cc36c55060cf8d4f48ea8ea6937b6a | 2022-05-27T16:20:09.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Andyrasika | null | Andyrasika/distilbert-base-uncased-finetuned-emotion | 14 | 1 | transformers | 9,970 | ---
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... |
reemalyami/AraRoBERTa_Poem_classification | 26e33b8ca0e2307b612d3125e91c94757a97e3d6 | 2022-05-29T21:00:22.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | reemalyami | null | reemalyami/AraRoBERTa_Poem_classification | 14 | null | transformers | 9,971 | Entry not found |
shafin/distilbert-base-uncased-finetuned-cust-similarity-2 | 46e79ba2e1ba26576317dbd8d31f8f492a4e5e38 | 2022-05-29T12:12:09.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity"
] | sentence-similarity | false | shafin | null | shafin/distilbert-base-uncased-finetuned-cust-similarity-2 | 14 | 1 | sentence-transformers | 9,972 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# shafin/distilbert-base-uncased-finetuned-cust-similarity-2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 128 dimensional dense vector space and can... |
PrimeQA/t5-base-table-question-generator | 3e90424ecfb46ee16447a4addda0808c2c2c130a | 2022-06-29T13:20:57.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | PrimeQA | null | PrimeQA/t5-base-table-question-generator | 14 | null | transformers | 9,973 | ---
license: apache-2.0
---
# Model description
This is an [t5-base](https://huggingface.co/t5-base) model, finetuned to generate questions given a table using [WikiSQL](https://huggingface.co/datasets/wikisql) dataset. It was trained to take the SQL, answer and column header of a table as input to generate questions... |
Cole/distilbert-base-uncased-finetuned-emotion | 4e25c8b6380612d6786807fbd41a834d7be3a2f7 | 2022-07-26T16:51:59.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Cole | null | Cole/distilbert-base-uncased-finetuned-emotion | 14 | null | transformers | 9,974 | ---
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... |
arrandi/distilbert-base-uncased-finetuned-emotion | 4d6ed1093496c2ccd9c8b34e54fb2c2d8b9fbe70 | 2022-05-31T15:20:26.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | arrandi | null | arrandi/distilbert-base-uncased-finetuned-emotion | 14 | null | transformers | 9,975 | ---
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... |
caldana/distilbert-base-uncased-finetuned-emotion | d218b2bb15f2de4f6b6f3f7a6814f4d9a8f1c58c | 2022-05-31T23:07:12.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | caldana | null | caldana/distilbert-base-uncased-finetuned-emotion | 14 | null | transformers | 9,976 | ---
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... |
KM4STfulltext/SSCI-SciBERT-e4 | 2f2970495c81d40d07513154fe54319f0df8f9b4 | 2022-06-01T09:25:24.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | KM4STfulltext | null | KM4STfulltext/SSCI-SciBERT-e4 | 14 | 1 | transformers | 9,977 | ---
license: apache-2.0
---
# SSCI-BERT: A pretrained language model for social scientific text
## Introduction
The research for social science texts needs the support natural language processing tools.
The pre-trained language model has greatly improved the accuracy of text mining in general texts. At present, th... |
MadFace/t5-cnn | 0214db82331d763598634e9d5144e9c4814ebcb4 | 2022-06-05T06:11:02.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | MadFace | null | MadFace/t5-cnn | 14 | null | transformers | 9,978 | ---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-cnn
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. -->
# t5-cnn
This model was trained ... |
RUCAIBox/mtl-open-dialog | f1cb197098502d76475494fccc335ce303789356 | 2022-06-27T02:27:15.000Z | [
"pytorch",
"mvp",
"en",
"arxiv:2206.12131",
"transformers",
"text-generation",
"text2text-generation",
"conversational",
"license:apache-2.0"
] | text2text-generation | false | RUCAIBox | null | RUCAIBox/mtl-open-dialog | 14 | null | transformers | 9,979 | ---
license: apache-2.0
language:
- en
tags:
- text-generation
- text2text-generation
- conversational
pipeline_tag: text2text-generation
widget:
- text: "Given the dialog: do you like dance? [SEP] Yes I do. Did you know Bruce Lee was a cha cha dancer?"
example_title: "Example1"
- text: "Given the dialog: i used to s... |
prajdabre/morisien_english | 96af0505897f13345c0e220e45f8679297c580ed | 2022-06-07T09:55:36.000Z | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | prajdabre | null | prajdabre/morisien_english | 14 | 1 | transformers | 9,980 | ---
license: mit
widget:
- text: Kan bann mor pou releve, bann dimoun pa pou marie. </s> <2cr>
---
|
csebuetnlp/banglishbert_generator | 6175a1e02224b65e8bce257c85becdf3e5f00872 | 2022-06-07T12:12:59.000Z | [
"pytorch",
"electra",
"fill-mask",
"bn",
"en",
"arxiv:2101.00204",
"transformers",
"autotrain_compatible"
] | fill-mask | false | csebuetnlp | null | csebuetnlp/banglishbert_generator | 14 | null | transformers | 9,981 | ---
language:
- bn
- en
licenses:
- cc-by-nc-sa-4.0
---
# BanglishBERT
This repository contains the pretrained generator checkpoint of the model [**BanglishBERT**](). This is an [ELECTRA](https://openreview.net/pdf?id=r1xMH1BtvB) generator model pretrained with the Masked Language Modeling (MLM) objective on large a... |
ObamaCodingReal/DialoGPT-large-NickGERai | a3bb895c4ba66a4bd4bdd38c6d241920595ebe8a | 2022-06-09T01:41:07.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ObamaCodingReal | null | ObamaCodingReal/DialoGPT-large-NickGERai | 14 | null | transformers | 9,982 | ---
tags:
- conversational
---
# horrendous amalgamation of several friends |
ThaisBeham/distilbert-base-uncased-finetuned-fira | fc92333ed41991cf2b52ced672a372215e7db5e2 | 2022-06-07T10:44:12.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | ThaisBeham | null | ThaisBeham/distilbert-base-uncased-finetuned-fira | 14 | null | transformers | 9,983 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-fira
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. -->... |
eslamxm/mbert2mbert-finetuned-ar-xlsum | c8091bfbed1fb632bce6692c6df15a2fe6e1c2ce | 2022-06-14T19:25:14.000Z | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xlsum",
"transformers",
"summarization",
"ar",
"mbert",
"Abstractive Summarization",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | summarization | false | eslamxm | null | eslamxm/mbert2mbert-finetuned-ar-xlsum | 14 | null | transformers | 9,984 | ---
tags:
- summarization
- ar
- encoder-decoder
- mbert
- Abstractive Summarization
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: mbert2mbert-finetuned-ar-xlsum
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should ... |
kevincstowe/concept2seq-srl | 3b6d01d56c5c143139efe602e5a3eeec5078acb5 | 2022-06-08T13:35:04.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | kevincstowe | null | kevincstowe/concept2seq-srl | 14 | null | transformers | 9,985 | Entry not found |
Clody0071/camembert-base-finetuned-paraphrase | 65a4510c8267ef797e59f2758d295e90f2caad1b | 2022-06-10T18:05:49.000Z | [
"pytorch",
"tensorboard",
"camembert",
"text-classification",
"dataset:pawsx",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | Clody0071 | null | Clody0071/camembert-base-finetuned-paraphrase | 14 | null | transformers | 9,986 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- pawsx
metrics:
- accuracy
- f1
model-index:
- name: camembert-base-finetuned-paraphrase
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: pawsx
type: pawsx
args: fr
metrics:
- name... |
louisdeco/camembert-base-finetuned-RankLineCause | 5dc6b4968f1de481df82fc7541a6f089186587a7 | 2022-06-11T12:50:01.000Z | [
"pytorch",
"tensorboard",
"camembert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | louisdeco | null | louisdeco/camembert-base-finetuned-RankLineCause | 14 | null | transformers | 9,987 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
model-index:
- name: camembert-base-finetuned-RankLineCause
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... |
spuun/kekbot-beta-4-medium | e8af8b0e4e12da1680a287720590a9dccdd28d68 | 2022-06-12T21:36:45.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"conversational",
"license:cc-by-nc-sa-4.0",
"co2_eq_emissions"
] | conversational | false | spuun | null | spuun/kekbot-beta-4-medium | 14 | null | transformers | 9,988 | ---
language:
- en
tags:
- conversational
co2_eq_emissions:
emissions: "840"
source: "mlco2.github.io"
training_type: "fine-tuning"
geographical_location: "West Java, Indonesia"
hardware_used: "1 Tesla P100"
license: cc-by-nc-sa-4.0
widget:
- text: "Hey kekbot! What's up?"
example_title:... |
ahmeddbahaa/xlmroberta2xlmroberta-finetuned-ar-wikilingua | 3104a1c9a13d4b1ff19358730efc192f64ba2abe | 2022-06-14T20:55:49.000Z | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:wiki_lingua",
"transformers",
"summarization",
"ar",
"roberta",
"xlmroberta2xlmroberta",
"Abstractive Summarization",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | summarization | false | ahmeddbahaa | null | ahmeddbahaa/xlmroberta2xlmroberta-finetuned-ar-wikilingua | 14 | null | transformers | 9,989 | ---
tags:
- summarization
- ar
- encoder-decoder
- roberta
- xlmroberta2xlmroberta
- Abstractive Summarization
- generated_from_trainer
datasets:
- wiki_lingua
model-index:
- name: xlmroberta2xlmroberta-finetuned-ar-wikilingua
results: []
---
<!-- This model card has been generated automatically according to the inf... |
ghadeermobasher/BC4CHEMD-Chem-Original-SciBERT-384 | f8709ce37dd3363a38cff652a238c7c776bb4bc7 | 2022-06-14T18:32:19.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD-Chem-Original-SciBERT-384 | 14 | null | transformers | 9,990 | Entry not found |
ghadeermobasher/BC4CHEMD-Chem-Original-BlueBERT-384 | d8462a1232961bfc71af46c551594f58f32c7978 | 2022-06-14T19:06:41.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD-Chem-Original-BlueBERT-384 | 14 | null | transformers | 9,991 | Entry not found |
Deborah/bertimbau-finetuned-pos-accelerate3 | b4053b2abfc50289fa98730a0e36a08cafb6dda3 | 2022-06-14T22:33:09.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Deborah | null | Deborah/bertimbau-finetuned-pos-accelerate3 | 14 | null | transformers | 9,992 | Entry not found |
dexay/reDs3others | e8581f17923feaea2f3b0de88f39ed6cc2ead9ed | 2022-06-14T23:58:57.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | dexay | null | dexay/reDs3others | 14 | null | transformers | 9,993 | Entry not found |
Alireza1044/mobilebert_sst2 | bf7878338b499f4f45db7e68191f5167babdf6e9 | 2022-06-15T11:12:07.000Z | [
"pytorch",
"tensorboard",
"mobilebert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Alireza1044 | null | Alireza1044/mobilebert_sst2 | 14 | null | transformers | 9,994 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE SST2
type: glue
args: sst2
metrics:
- name: Accuracy... |
microsoft/swinv2-large-patch4-window12to24-192to384-22kto1k-ft | e227d7005daa2ea6f44280accbb8b9c0c04295a1 | 2022-07-09T06:15:06.000Z | [
"pytorch",
"swinv2",
"transformers"
] | null | false | microsoft | null | microsoft/swinv2-large-patch4-window12to24-192to384-22kto1k-ft | 14 | null | transformers | 9,995 | Entry not found |
huggingtweets/rihanna | 0a7a27c0995ad549b19b2ef425ff4314a50ab81b | 2022-06-20T17:21:51.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/rihanna | 14 | null | transformers | 9,996 | ---
language: en
thumbnail: http://www.huggingtweets.com/rihanna/1655745706641/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; width: ... |
Nonzerophilip/bert-finetuned-ner_swedish_test | f44ec223952c85df17b1b6f316edfe40b42280ab | 2022-06-17T08:57:37.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | Nonzerophilip | null | Nonzerophilip/bert-finetuned-ner_swedish_test | 14 | null | transformers | 9,997 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner_swedish_test
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 remov... |
valurank/finetuned-distilbert-adult-content-detection | 5383ff56775d99bc851ead9622eccb6103918c8d | 2022-06-25T06:58:36.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:other",
"model-index"
] | text-classification | false | valurank | null | valurank/finetuned-distilbert-adult-content-detection | 14 | null | transformers | 9,998 | ---
license: other
tags:
- generated_from_trainer
model-index:
- name: finetuned-distilbert-adult-content-detection
results: []
---
### finetuned-distilbert-news-article-catgorization
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the adult_content... |
linuxcoder/distilbert-base-uncased-finetuned-emotion | f23ffd948b098c7c013a3145f4050a018a66114b | 2022-07-13T12:59:22.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | linuxcoder | null | linuxcoder/distilbert-base-uncased-finetuned-emotion | 14 | 1 | transformers | 9,999 | ---
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... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.