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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PaulAdversarial/T5_PAN_Hate_Speech_Twitter_topic_ishatespeach | 0a583414a4d7a8235e93c3f43098011cfdda6af5 | 2021-06-23T03:52:00.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | PaulAdversarial | null | PaulAdversarial/T5_PAN_Hate_Speech_Twitter_topic_ishatespeach | 12 | null | transformers | 10,500 | A T5ForConditionalGeneration trained on 2 tasks from PAN Profiling Hate Speech Spreaders on Twitter dataset (EN):
* topic attribution - topics were assigned with BertTopic library using embeddings from `cardiffnlp/bertweet-base-hate` Roberta model (train and test sets from the PAN task)
* hate speech identification (t... |
Plim/xls-r-1b-cv_8-fr | 14d95dbced6550bae47c30aa78a7c78a2d0b40b8 | 2022-03-24T11:55:06.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"fr",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"robust-speech-event",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Plim | null | Plim/xls-r-1b-cv_8-fr | 12 | null | transformers | 10,501 | ---
language:
- fr
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- robust-speech-event
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: XLS-R-1B - French
results:
- task:
name: Automatic Speech R... |
RJ3vans/CMN1spanTagger | e55780508253b492dd63594fca86cd693bd0c62f | 2021-09-07T13:25:31.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | RJ3vans | null | RJ3vans/CMN1spanTagger | 12 | null | transformers | 10,502 | This model identifies compound noun phrases in an input sentence.
Try the test sentence:
The inquiry, which continues, will recall John Smith [and] Peter Montgomery next month for further questioning.
Note that you need square brackets around the conjunction coordinating the NPs.
The model was derived using code ad... |
RecordedFuture/Swedish-Sentiment-Violence-Targets | 263b3f09ce3c0fc0315824ce129a78cfa76a69f7 | 2021-05-24T13:02:37.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"token-classification",
"sv",
"transformers",
"license:mit",
"autotrain_compatible"
] | token-classification | false | RecordedFuture | null | RecordedFuture/Swedish-Sentiment-Violence-Targets | 12 | null | transformers | 10,503 | ---
language: sv
license: mit
---
## Swedish BERT models for sentiment analysis, Sentiment targets.
[Recorded Future](https://www.recordedfuture.com/) together with [AI Sweden](https://www.ai.se/en) releases two language models for target/role assignment in Swedish. The two models are based on the [KB/bert-base-swedi... |
ReynaQuita/twitter_disaster_distilbert | ae77f2802a8e414b7aafdb89b1db36f169b2d2e4 | 2021-10-26T08:29:48.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | ReynaQuita | null | ReynaQuita/twitter_disaster_distilbert | 12 | null | transformers | 10,504 | Entry not found |
SEBIS/code_trans_t5_base_code_documentation_generation_ruby | a7c9b511cbe2f36363884b5f12b1a3cbd7e5a5e8 | 2021-06-23T04:50:26.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_base_code_documentation_generation_ruby | 12 | null | transformers | 10,505 | ---
tags:
- summarization
widget:
- text: "def add ( severity , progname , & block ) return true if io . nil? || severity < level message = format_message ( severity , progname , yield ) MUTEX . synchronize { io . write ( message ) } true end"
---
# CodeTrans model for code documentation generation ruby
Pretrained m... |
SEBIS/code_trans_t5_base_program_synthese | 4c72d42e00b0f2a3fdb433bf84ad898f1316017e | 2021-06-23T05:03:36.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_base_program_synthese | 12 | null | transformers | 10,506 | ---
tags:
- summarization
widget:
- text: "you are given an array of numbers a and a number b , compute the difference of elements in a and b"
---
# CodeTrans model for program synthesis
Pretrained model on programming language lisp inspired DSL using the t5 base model architecture. It was first released in
[this re... |
SEBIS/code_trans_t5_base_program_synthese_transfer_learning_finetune | c5f4105d6788c6efa2b7535ac5c93bef5148eddd | 2021-06-23T05:10:46.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_base_program_synthese_transfer_learning_finetune | 12 | null | transformers | 10,507 | ---
tags:
- summarization
widget:
- text: "you are given an array of numbers a and a number b , compute the difference of elements in a and b"
---
# CodeTrans model for program synthesis
Pretrained model on programming language lisp inspired DSL using the t5 base model architecture. It was first released in
[this re... |
SEBIS/code_trans_t5_large_code_documentation_generation_javascript_transfer_learning_finetune | 11e0667a204fc399ddea68668854f5a6302b1b29 | 2021-06-23T07:07:09.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_large_code_documentation_generation_javascript_transfer_learning_finetune | 12 | null | transformers | 10,508 | ---
tags:
- summarization
widget:
- text: "function isStandardBrowserEnv ( ) { if ( typeof navigator !== 'undefined' && ( navigator . product === 'ReactNative' || navigator . product === 'NativeScript' || navigator . product === 'NS' ) ) { return false ; } return ( typeof window !== 'undefined' && typeof document !== '... |
SEBIS/code_trans_t5_large_source_code_summarization_python_transfer_learning_finetune | c8624bcb37803198d64f3d6cb0307e5c07a18c97 | 2021-06-23T09:32:03.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_large_source_code_summarization_python_transfer_learning_finetune | 12 | null | transformers | 10,509 | ---
tags:
- summarization
widget:
- text: '''with open ( CODE_STRING , CODE_STRING ) as in_file : buf = in_file . readlines ( ) with open ( CODE_STRING , CODE_STRING ) as out_file : for line in buf : if line == " ; Include this text " : line = line + " Include below " out_file . w... |
SEBIS/code_trans_t5_small_code_documentation_generation_go_transfer_learning_finetune | 9742ba911d55a1508e8ebd33fe6cac58a7b14f63 | 2021-06-23T09:59:51.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_small_code_documentation_generation_go_transfer_learning_finetune | 12 | null | transformers | 10,510 | ---
tags:
- summarization
widget:
- text: "func ( pr * Progress ) needSnapshotAbort ( ) bool { return pr . State == ProgressStateSnapshot && pr . Match >= pr . PendingSnapshot }"
---
# CodeTrans model for code documentation generation go
Pretrained model on programming language go using the t5 small model architec... |
SEBIS/legal_t5_small_trans_cs_de | 64be375b502a728d1c08c96d70a4bfa12e505f0d | 2021-06-23T11:29:34.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"Cszech Deustch",
"dataset:dcep europarl jrc-acquis",
"transformers",
"translation Cszech Deustch model",
"autotrain_compatible"
] | text2text-generation | false | SEBIS | null | SEBIS/legal_t5_small_trans_cs_de | 12 | null | transformers | 10,511 |
---
language: Cszech Deustch
tags:
- translation Cszech Deustch model
datasets:
- dcep europarl jrc-acquis
widget:
- text: "Konečná zpráva bude Parlamentu předložena na konci nového funkčního období."
---
# legal_t5_small_trans_cs_de model
Model on translating legal text from Cszech to Deustch. It was first rele... |
SEBIS/legal_t5_small_trans_it_fr | e471255a14ba5fe54efecf0b9bced961ae7c5ae6 | 2021-06-23T10:03:01.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"Italian French",
"dataset:dcep europarl jrc-acquis",
"transformers",
"translation Italian French model",
"autotrain_compatible"
] | text2text-generation | false | SEBIS | null | SEBIS/legal_t5_small_trans_it_fr | 12 | null | transformers | 10,512 |
---
language: Italian French
tags:
- translation Italian French model
datasets:
- dcep europarl jrc-acquis
widget:
- text: "Qualora gli emendamenti approvati dal Parlamento abbiano l'effetto di aumentare le spese iscritte nel progetto di bilancio oltre il tasso massimo previsto, la commissione competente per il mer... |
Salesforce/qaconv-unifiedqa-t5-3b | 636b2117bf569d9e9f76919aedd5e193470e352f | 2021-06-21T19:49:37.000Z | [
"pytorch",
"tf",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Salesforce | null | Salesforce/qaconv-unifiedqa-t5-3b | 12 | null | transformers | 10,513 | Entry not found |
ScottaStrong/DialogGPT-medium-joshua | eff1080796d967637ea7379f2672585902cecb47 | 2021-06-17T00:25:33.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational",
"license:mit"
] | conversational | false | ScottaStrong | null | ScottaStrong/DialogGPT-medium-joshua | 12 | null | transformers | 10,514 | ---
thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png
tags:
- conversational
license: mit
---
# DialoGPT Trained on the Speech of a Game Character
This is an instance of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) trained on a game character, Joshua from [The World Ends W... |
SophieTr/distil-pegasus-reddit | f8ac41300eb2c601e6d771dc42fe899e3e28bb61 | 2021-12-29T23:58:29.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | SophieTr | null | SophieTr/distil-pegasus-reddit | 12 | null | transformers | 10,515 | This is the model so far before time out
|
Suva/uptag-email-model-v2 | 3a6fde2540b4f8cfdf5fa0043904c9206bb4894c | 2022-02-08T09:03:33.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Suva | null | Suva/uptag-email-model-v2 | 12 | null | transformers | 10,516 | Entry not found |
Tahsin/distilbert-base-uncased-finetuned-emotion | ba9481e0e16ccbed6d1b3f759b2538fb06602765 | 2022-01-06T07:43:40.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Tahsin | null | Tahsin/distilbert-base-uncased-finetuned-emotion | 12 | null | transformers | 10,517 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
... |
TheLongSentance/t5-small-finetuned-xsum | 17ffbc1941e04620dab8a7ad8615619aec4a6b8e | 2021-07-24T11:57:58.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | TheLongSentance | null | TheLongSentance/t5-small-finetuned-xsum | 12 | null | transformers | 10,518 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model_index:
- name: t5-small-finetuned-xsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: xsum
type: xsum
args: default
metric:
... |
TransQuest/monotransquest-hter-de_en-pharmaceutical | 9b169899defa4c2ff3385e8956a1553d737404f5 | 2021-06-03T19:11:44.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"de-en",
"transformers",
"Quality Estimation",
"monotransquest",
"hter",
"license:apache-2.0"
] | text-classification | false | TransQuest | null | TransQuest/monotransquest-hter-de_en-pharmaceutical | 12 | null | transformers | 10,519 | ---
language: de-en
tags:
- Quality Estimation
- monotransquest
- hter
license: apache-2.0
---
# TransQuest: Translation Quality Estimation with Cross-lingual Transformers
The goal of quality estimation (QE) is to evaluate the quality of a translation without having access to a reference translation. High-accuracy QE... |
TransQuest/siamesetransquest-da-en_de-wiki | 469775f24b528f4b6bdc30394ba13b1dc763d524 | 2021-06-04T08:09:25.000Z | [
"pytorch",
"xlm-roberta",
"feature-extraction",
"en-de",
"transformers",
"Quality Estimation",
"siamesetransquest",
"da",
"license:apache-2.0"
] | feature-extraction | false | TransQuest | null | TransQuest/siamesetransquest-da-en_de-wiki | 12 | null | transformers | 10,520 | ---
language: en-de
tags:
- Quality Estimation
- siamesetransquest
- da
license: apache-2.0
---
# TransQuest: Translation Quality Estimation with Cross-lingual Transformers
The goal of quality estimation (QE) is to evaluate the quality of a translation without having access to a reference translation. High-accuracy Q... |
VLRevolution/DialogGPT-small-GGODMODEL | d4a68bf6199307f52e245fded6033299e56552f1 | 2022-01-10T14:25:25.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | VLRevolution | null | VLRevolution/DialogGPT-small-GGODMODEL | 12 | null | transformers | 10,521 | ---
tags:
- conversational
---
# GGODMODEL |
Wikidepia/IndoT5-large | e39767643b41c43c6ee118fc19f882613011843a | 2021-09-02T11:57:48.000Z | [
"pytorch",
"t5",
"text2text-generation",
"id",
"dataset:allenai/c4",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Wikidepia | null | Wikidepia/IndoT5-large | 12 | null | transformers | 10,522 | ---
language:
- id
datasets:
- allenai/c4
---
**NOTE** : This model might be broken :/
# Indonesian T5 Large
T5 (Text-to-Text Transfer Transformer) model pretrained on Indonesian mC4 with [extra filtering](https://github.com/Wikidepia/indonesian_datasets/tree/master/dump/mc4). This model is pre-trained only and need... |
Yaia/distilbert-base-uncased-finetuned-emotion | 60417fd4d53e945b9df6934124efed8569acaa12 | 2022-01-21T17:28:21.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Yaia | null | Yaia/distilbert-base-uncased-finetuned-emotion | 12 | null | transformers | 10,523 | ---
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... |
ainize/gpt2-rnm-with-spongebob | 4e43a74875f2fbdec3d3579b7b7b7a573728369c | 2021-05-21T12:09:02.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | ainize | null | ainize/gpt2-rnm-with-spongebob | 12 | null | transformers | 10,524 | ### Model information
Fine tuning data 1: https://www.kaggle.com/andradaolteanu/rickmorty-scripts
Fine tuning data 2: https://www.kaggle.com/mikhailgaerlan/spongebob-squarepants-completed-transcripts
Base model: e-tony/gpt2-rnm
Epoch: 2
Train runtime: 790.0612 secs
Loss: 2.8569
API page: [... |
alireza7/ARMAN-MSR-persian-base-perkey-summary | 4b8da7e74c83ce73103537e162a8726668a788a9 | 2021-09-29T19:16:27.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | alireza7 | null | alireza7/ARMAN-MSR-persian-base-perkey-summary | 12 | null | transformers | 10,525 | More information about models is available [here](https://github.com/alirezasalemi7/ARMAN). |
alireza7/ARMAN-SH-persian-base-PN-summary | 622420d769ae7d35ae5c73e57df768a9f9226220 | 2021-09-29T19:17:58.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | alireza7 | null | alireza7/ARMAN-SH-persian-base-PN-summary | 12 | null | transformers | 10,526 | More information about models is available [here](https://github.com/alirezasalemi7/ARMAN). |
allenai/dsp_roberta_base_tapt_citation_intent_1688 | 5c1947cca8cec0847d813345ae55bd3a61f18b0b | 2021-05-20T13:24:32.000Z | [
"pytorch",
"jax",
"roberta",
"transformers"
] | null | false | allenai | null | allenai/dsp_roberta_base_tapt_citation_intent_1688 | 12 | null | transformers | 10,527 | Entry not found |
ami-wav2vec2/wav2vec2-large-lv60-ami_multi-tune_0.0005_8 | 928595df3601041f1955680d693f6ff8a73dcc05 | 2021-11-19T13:26:02.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"en",
"transformers",
"ami",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ami-wav2vec2 | null | ami-wav2vec2/wav2vec2-large-lv60-ami_multi-tune_0.0005_8 | 12 | null | transformers | 10,528 | ---
language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- ami
- generated_from_trainer
model-index:
- name: wav2vec2-large-lv60-ami_multi-tune_0.0005_8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably... |
angiquer/twitterko-electra-base-generator-large | c29885d5234a28c961dcc7ab39ed437c5f111a83 | 2020-07-10T01:46:07.000Z | [
"pytorch",
"electra",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | angiquer | null | angiquer/twitterko-electra-base-generator-large | 12 | null | transformers | 10,529 | Entry not found |
anirudh21/distilbert-base-uncased-finetuned-wnli | 80ba0225e2821934eb87f63cbfb014f95c1010f4 | 2022-01-12T06:16:27.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | anirudh21 | null | anirudh21/distilbert-base-uncased-finetuned-wnli | 12 | null | transformers | 10,530 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-wnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: wnli
metrics:
- ... |
arampacha/wav2vec2-xls-r-1b-uk | ee3ebb6117bde6b1bf3a9f332fa20cca65e2c453 | 2022-03-23T18:26:29.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | arampacha | null | arampacha/wav2vec2-xls-r-1b-uk | 12 | null | transformers | 10,531 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- mozilla-foundation/common_voice_8_0
- robust-speech-event
datasets:
- common_voice
model-index:
- name: wav2vec2-xls-r-1b-hy
results:
- task:
type: automatic-speech-recognition
nam... |
arnolfokam/mbert-base-uncased-ner-kin | d457099e369b7c829765abbb8fee2bc8c654b141 | 2021-11-24T11:57:38.000Z | [
"pytorch",
"bert",
"token-classification",
"kin",
"dataset:masakhaner",
"transformers",
"NER",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | arnolfokam | null | arnolfokam/mbert-base-uncased-ner-kin | 12 | null | transformers | 10,532 | ---
language:
- kin
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
license: apache-2.0
widget:
- text: "Ambasaderi Bellomo yavuze ko bishimira ubufatanye burambye hagati ya EU n’u Rwanda, bushingiye nanone ku bufatanye hagati y’imigabane ya Afurika n’u Burayi."
---
# Model description
**mbert-b... |
asalics/distilbert-base-uncased-finetuned-emotion | a37ce86ceb35f28d0ffff1e0c6ce176470bd2c26 | 2022-02-06T14:29:54.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | asalics | null | asalics/distilbert-base-uncased-finetuned-emotion | 12 | null | transformers | 10,533 | ---
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... |
beomi/beep-KcELECTRA-base-bias | 5616706f4ab48887c5ac4ecf355fa248c5c5860f | 2021-10-23T06:23:55.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | beomi | null | beomi/beep-KcELECTRA-base-bias | 12 | null | transformers | 10,534 | Entry not found |
beomi/korean-hatespeech-classifier | 83a4b015f50c27bb05d533fdddd67767c9b3b9fe | 2021-08-25T06:55:32.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | beomi | null | beomi/korean-hatespeech-classifier | 12 | null | transformers | 10,535 | Entry not found |
beomi/korean-hatespeech-multilabel | b9399885f6eedc940cec03b478bf7a97a38685c3 | 2021-10-19T15:37:33.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | beomi | null | beomi/korean-hatespeech-multilabel | 12 | 1 | transformers | 10,536 | Entry not found |
bespin-global/klue-bert-base-mrc | 007ae2aaa0c4e33ec44d7ec77488f5176077583c | 2021-11-19T01:12:59.000Z | [
"pytorch",
"bert",
"question-answering",
"ko",
"dataset:klue",
"transformers",
"mrc",
"license:cc-by-nc-4.0",
"autotrain_compatible"
] | question-answering | false | bespin-global | null | bespin-global/klue-bert-base-mrc | 12 | null | transformers | 10,537 | ---
language: ko
tags:
- bert
- mrc
datasets:
- klue
license: cc-by-nc-4.0
---
## Usage
```python
# Load Transformers library
import torch
from transformers import AutoModelForQuestionAnswering, AutoTokenizer
context = "your context"
question = "your question"
# Load fine-tuned MRC model by HuggingFace Model Hub
HUG... |
bettertextapp/gpt2-large-detector-de-v1 | a7a61e0a88a7037bb0fd9f2e307ec0c0139f4a99 | 2022-01-28T17:37:06.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | bettertextapp | null | bettertextapp/gpt2-large-detector-de-v1 | 12 | null | transformers | 10,538 | Entry not found |
biasedai/bert-based-ner | ee78bcb69a440876664732e41e0b007075f6045b | 2021-06-10T11:43:16.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | biasedai | null | biasedai/bert-based-ner | 12 | null | transformers | 10,539 | Creating finetuned model for NER task |
binwang/bert-base-uncased | eacb3b2b1deb1e88b6e5739fba9e391d040a521b | 2021-05-19T12:43:37.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | binwang | null | binwang/bert-base-uncased | 12 | null | transformers | 10,540 | Entry not found |
boronbrown48/1_topic_classification | 6431b2f0c490614259b420cec095f2b0b6905c79 | 2021-12-12T02:31:08.000Z | [
"pytorch",
"camembert",
"text-classification",
"transformers"
] | text-classification | false | boronbrown48 | null | boronbrown48/1_topic_classification | 12 | null | transformers | 10,541 | Entry not found |
boychaboy/SNLI_distilroberta-base | 6ac1a37dd1e79b8f929bbe0aee6f8f24e7ccd69c | 2021-05-20T14:34:56.000Z | [
"pytorch",
"jax",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | boychaboy | null | boychaboy/SNLI_distilroberta-base | 12 | null | transformers | 10,542 | Entry not found |
brandon25/distilbert-base-uncased-finetuned-ner | 0842f4e5a6988aadfefeea4db3c119b624943f2a | 2021-10-12T05:59:22.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | brandon25 | null | brandon25/distilbert-base-uncased-finetuned-ner | 12 | 1 | transformers | 10,543 | ---
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... |
brunodorneles/ner_model | 15a5ddc47739d775a2bc8381369c9bcfd75eff11 | 2021-10-28T19:27:08.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | brunodorneles | null | brunodorneles/ner_model | 12 | null | transformers | 10,544 | Entry not found |
camille/bert-base-pruned-voc-esw0.7-40000-en-fr-cased | fc52bb16982c40a338522535fcabf111e2997e46 | 2021-05-19T13:55:45.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | camille | null | camille/bert-base-pruned-voc-esw0.7-40000-en-fr-cased | 12 | null | transformers | 10,545 | Entry not found |
castorini/monot5-3b-med-msmarco | 2c7b8050cc95720e78370f4e04648a3dc9ba1233 | 2021-05-28T11:54:47.000Z | [
"pytorch",
"t5",
"feature-extraction",
"transformers"
] | feature-extraction | false | castorini | null | castorini/monot5-3b-med-msmarco | 12 | 1 | transformers | 10,546 | This model is a T5-3B reranker fine-tuned on the MS MARCO passage dataset for 10K steps (or 1 epoch) and then fine-tuned again on MedMARCO (from [Sledge-Z paper](https://www.aclweb.org/anthology/2020.emnlp-main.341.pdf)) for 1K steps.
For more details on how to use it, check [pygaggle.ai](pygaggle.ai)!
Paper describi... |
christopherastone/distilgpt2-proofs | 4e7b9f1dff4ca376d52359242da107dbc629aaea | 2021-07-02T16:13:11.000Z | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | christopherastone | null | christopherastone/distilgpt2-proofs | 12 | null | transformers | 10,547 | ---
widget:
- text: "Let MATH be given."
- text: "If MATH is a nonempty"
- text: "By the inductive hypothesis,"
---
[DistilGPT2](https://huggingface.co/distilgpt2) English language model fine-tuned on mathematical proofs extracted from [arXiv.org](https://arxiv.org) LaTeX sources from 1992 to 2020.
Proofs have been ... |
chrommium/sbert_large-finetuned-sent_in_news_sents | d2440bc4ac71d379f40a59d6d55908258d1a8c56 | 2021-12-03T16:18:40.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | chrommium | null | chrommium/sbert_large-finetuned-sent_in_news_sents | 12 | null | transformers | 10,548 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: sbert_large-finetuned-sent_in_news_sents
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... |
copenlu/citebert | 95a3f3676afcc2b7f11d0dd62ca92879605d937b | 2022-04-06T08:33:47.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | copenlu | null | copenlu/citebert | 12 | null | transformers | 10,549 | This is the SciBERT pretrained language model further fine-tuned on masked language modeling and cite-worthiness detection on the [CiteWorth](https://github.com/copenlu/cite-worth) dataset. Note that this model should be used for further fine-tuning on downstream scientific document understanding tasks. |
cscottp27/distilbert-base-uncased-finetuned-emotion | d21810c582398b5abe2ced7e08b616ff4bbfb9ee | 2022-02-13T13:19:16.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | cscottp27 | null | cscottp27/distilbert-base-uncased-finetuned-emotion | 12 | null | transformers | 10,550 | ---
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... |
cstorm125/marianmt-th-zh_cn | ed09363fcae8aa145c242c3de94d848e6a560477 | 2021-06-23T14:19:13.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"translation",
"torch==1.8.0",
"autotrain_compatible"
] | translation | false | cstorm125 | null | cstorm125/marianmt-th-zh_cn | 12 | null | transformers | 10,551 | ---
tags:
- translation
- torch==1.8.0
widget:
- text: "Inference Unavailable"
---
### marianmt-th-zh_cn
* source languages: th
* target languages: zh_cn
* dataset:
* model: transformer-align
* pre-processing: normalization + SentencePiece
* test set translations:
* test set scores:
## Training
Training scripts fr... |
dayyass/trocr-base-handwritten-vit-encoder | d30e31c8780fa6da7e562fb264ae00ac3d5fb754 | 2021-11-14T16:32:54.000Z | [
"pytorch",
"vit",
"feature-extraction",
"transformers"
] | feature-extraction | false | dayyass | null | dayyass/trocr-base-handwritten-vit-encoder | 12 | 1 | transformers | 10,552 | Entry not found |
dbdmg/wav2vec2-xls-r-1b-italian-robust | a5d00c08f928913ea4260f8d4fc4cf1b27d6d205 | 2022-03-23T18:28:07.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"it",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | dbdmg | null | dbdmg/wav2vec2-xls-r-1b-italian-robust | 12 | null | transformers | 10,553 | ---
language:
- it
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: XLS-R-1b - Italian
results:
- task:
name: Automatic Speech Recognition
type: automatic-spee... |
deepset/quora_dedup_bert_base | 3ec393f8981a5994e483fb1f7b6539d767dc5773 | 2021-05-19T15:33:13.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"transformers",
"license:apache-2.0"
] | feature-extraction | false | deepset | null | deepset/quora_dedup_bert_base | 12 | 3 | transformers | 10,554 | ---
license: apache-2.0
---
This language model is trained using sentence_transformers (https://github.com/UKPLab/sentence-transformers)
Started with bert-base-nli-stsb-mean-tokens
Continue training on quora questions deduplication dataset (https://www.kaggle.com/c/quora-question-pairs)
See train_script.py for script ... |
deeq/dbert-ner | eec5e62fc4b35ad3cf78c16b7409464191e9eb34 | 2021-07-05T06:33:41.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | deeq | null | deeq/dbert-ner | 12 | null | transformers | 10,555 | Entry not found |
deeq/dbert | 69aaca092ea4e12951f5910086952819fb607c1a | 2022-04-11T01:45:49.000Z | [
"pytorch",
"bert",
"fill-mask",
"ko",
"dataset:kowiki",
"dataset:news",
"transformers",
"autotrain_compatible"
] | fill-mask | false | deeq | null | deeq/dbert | 12 | null | transformers | 10,556 | ---
language: ko
datasets:
- kowiki
- news
---
deeqBERT-base
---
- model: bert-base
- vocab: bert-wordpiece, 35k
- version: latest
|
deeq/delectra | d368d4ca22ca740a1b2b47799981855815d9e51c | 2021-07-23T04:31:00.000Z | [
"pytorch",
"electra",
"pretraining",
"ko",
"dataset:kowiki",
"dataset:news",
"transformers"
] | null | false | deeq | null | deeq/delectra | 12 | null | transformers | 10,557 | ---
language: ko
datasets:
- kowiki
- news
---
deeqELECTRA-base
---
- model: electra-base-discriminator
- vocab: bert-wordpiece, 35k
- version: beta, 1.71M
|
diegozs97/finetuned-sciie-seed-4-60k | ec5b7b7fd76da2af78b89d24952950093b7c006f | 2021-12-10T01:51:20.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | diegozs97 | null | diegozs97/finetuned-sciie-seed-4-60k | 12 | null | transformers | 10,558 | Entry not found |
disdamoe/DialoGPT-small-moe | 69fd172a759932621bb9c36df29e73d23bf2230b | 2021-09-25T19:24:10.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | disdamoe | null | disdamoe/DialoGPT-small-moe | 12 | null | transformers | 10,559 | ---
tags:
- conversational
---
# Moe DialoGPT Model |
dmis-lab/biosyn-biobert-bc5cdr-disease | 21afa2e3758f2227f904d21f93e7590508bced9d | 2021-10-25T14:46:09.000Z | [
"pytorch",
"transformers"
] | null | false | dmis-lab | null | dmis-lab/biosyn-biobert-bc5cdr-disease | 12 | null | transformers | 10,560 | Entry not found |
doc2query/reddit-t5-small-v1 | c7d6d4847c6d8910b8b1e3e4d27299861cae5703 | 2022-01-07T08:55:11.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:datasets/sentence-transformers/reddit-title-body",
"arxiv:1904.08375",
"arxiv:2104.08663",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | doc2query | null | doc2query/reddit-t5-small-v1 | 12 | null | transformers | 10,561 | ---
language: en
datasets:
- datasets/sentence-transformers/reddit-title-body
widget:
- text: "Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-ori... |
doc2query/stackexchange-t5-base-v1 | b397f2587b876674f3c0f5b85c81900f3b52ca15 | 2021-10-19T16:26:19.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:flax-sentence-embeddings/stackexchange_title_best_voted_answer_jsonl",
"arxiv:1904.08375",
"arxiv:2104.08663",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | doc2query | null | doc2query/stackexchange-t5-base-v1 | 12 | null | transformers | 10,562 | ---
language: en
datasets:
- flax-sentence-embeddings/stackexchange_title_best_voted_answer_jsonl
widget:
- text: "Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language const... |
dshvadskiy/bert-finetuned-ner | eb62916bcf46c185ca30eb7ccb783dc5559be2b1 | 2022-01-17T17:54:13.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2002",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | dshvadskiy | null | dshvadskiy/bert-finetuned-ner | 12 | null | transformers | 10,563 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2002
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2002
type: conll2002
args: e... |
ehdwns1516/gpt2_review_star1 | e44a0307822d275e1d57f75d1795df70131086c5 | 2021-07-23T01:06:16.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | ehdwns1516 | null | ehdwns1516/gpt2_review_star1 | 12 | null | transformers | 10,564 | # gpt2_review_star1
* This model has been trained as a review_body dataset with a star of 1 in the [amazon_review dataset](https://huggingface.co/datasets/amazon_reviews_multi).
* Input text what you want to generate review.
* If the context is longer than 1200 characters, the context may be cut in the middle and the ... |
emrecan/distilbert-base-turkish-cased-multinli_tr | 4b6a6f3dccc9ca49cc759677408e8f09e1d39261 | 2021-12-01T10:50:34.000Z | [
"pytorch",
"distilbert",
"text-classification",
"tr",
"dataset:nli_tr",
"transformers",
"zero-shot-classification",
"nli",
"license:apache-2.0"
] | zero-shot-classification | false | emrecan | null | emrecan/distilbert-base-turkish-cased-multinli_tr | 12 | null | transformers | 10,565 | ---
language:
- tr
tags:
- zero-shot-classification
- nli
- pytorch
pipeline_tag: zero-shot-classification
license: apache-2.0
datasets:
- nli_tr
widget:
- text: "Dolar yükselmeye devam ediyor."
candidate_labels: "ekonomi, siyaset, spor"
- text: "Senaryo çok saçmaydı, beğendim diyemem."
candidate_labels: "olumlu, o... |
ethzanalytics/ai-msgbot-gpt2-M | 6351371b3016929b3b7435c7a97e68f277c92a34 | 2021-12-26T20:28:15.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | ethzanalytics | null | ethzanalytics/ai-msgbot-gpt2-M | 12 | null | transformers | 10,566 | # ai-msgbot GPT-2 M Conversational
A GPT-2 M 355M parameter model for usage with [ai-msgbot](https://github.com/pszemraj/ai-msgbot) to create a chatbot-like tool.
This model was fine-tuned on a parsed version of [the Wizard of Wikipedia dataset](https://parl.ai/projects/wizard_of_wikipedia/) for 10,000 steps. 20/24 l... |
facebook/s2t-small-mustc-en-ro-st | 3cf61400eb2bfe68186b4ae0872c3826de926590 | 2022-02-07T15:32:34.000Z | [
"pytorch",
"tf",
"speech_to_text",
"automatic-speech-recognition",
"en",
"ro",
"dataset:mustc",
"arxiv:2010.05171",
"arxiv:1904.08779",
"transformers",
"audio",
"speech-translation",
"license:mit"
] | automatic-speech-recognition | false | facebook | null | facebook/s2t-small-mustc-en-ro-st | 12 | null | transformers | 10,567 | ---
language:
- en
- ro
datasets:
- mustc
tags:
- audio
- speech-translation
- automatic-speech-recognition
license: mit
pipeline_tag: automatic-speech-recognition
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
sr... |
ffsouza/t5-tiny-random-length-96-learning_rate-0.0002-weight_decay-0.01-finetuned-en-to-ro | fb79975ee8d8de01726fc4521d807d3d447b7f32 | 2021-12-05T23:26:04.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:wmt16_en_ro_pre_processed",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | ffsouza | null | ffsouza/t5-tiny-random-length-96-learning_rate-0.0002-weight_decay-0.01-finetuned-en-to-ro | 12 | null | transformers | 10,568 | ---
tags:
- generated_from_trainer
datasets:
- wmt16_en_ro_pre_processed
metrics:
- bleu
model-index:
- name: t5-tiny-random-length-96-learning_rate-0.0002-weight_decay-0.01-finetuned-en-to-ro
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
nam... |
fspanda/Electra-Medical-v790000-generator | 6091b8e8f20c8167ea9061c6249e22adfbea5c2e | 2020-10-31T13:24:12.000Z | [
"pytorch",
"electra",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | fspanda | null | fspanda/Electra-Medical-v790000-generator | 12 | null | transformers | 10,569 | Entry not found |
ghadeermobasher/BC4CHEMD-Modified_PubMedBERT | 9439cffbcb5176dbf8e7358db0041853d6e65505 | 2022-01-22T10:12:47.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD-Modified_PubMedBERT | 12 | null | transformers | 10,570 | Entry not found |
ghadeermobasher/BC4CHEMD-Modified_pubmed_clinical | f553d5eaf73837cb5debe39a2bdebd5e8458bce1 | 2022-02-10T22:08:37.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD-Modified_pubmed_clinical | 12 | null | transformers | 10,571 | Entry not found |
ghadeermobasher/BC4CHEMD_ImbalancedPubMedBERT | fa03a20beea9d4caabd352f75caa10ad84130c02 | 2022-01-22T10:08:34.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD_ImbalancedPubMedBERT | 12 | null | transformers | 10,572 | Entry not found |
ghadeermobasher/BC4_CHEM_PubmedBERT | 1866c0900e0028ca0395ebc00f593c1ff3248059 | 2022-02-11T14:20:06.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4_CHEM_PubmedBERT | 12 | null | transformers | 10,573 | Entry not found |
ghadeermobasher/BC4_Modified-scibert_scivocab_uncased | 00952253c629439dd0658b635b9a984b13cb79f3 | 2022-02-22T20:26:26.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4_Modified-scibert_scivocab_uncased | 12 | null | transformers | 10,574 | Entry not found |
ha-mulan/moby-dick | 5dfb73bc392ed5c5a3253b9279eb3fe751bdc2a3 | 2021-05-21T16:19:33.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | ha-mulan | null | ha-mulan/moby-dick | 12 | null | transformers | 10,575 | hello
|
hemekci/off_detection_turkish | e0a7c3d8f437c0f174b2b61c9627bb771a00863f | 2021-05-19T18:54:44.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"tr",
"transformers"
] | text-classification | false | hemekci | null | hemekci/off_detection_turkish | 12 | 2 | transformers | 10,576 | ---
language: tr
widget:
- text: "sevelim sevilelim bu dunya kimseye kalmaz"
---
## Offensive Language Detection Model in Turkish
- uses Bert and pytorch
- fine tuned with Twitter data.
- UTF-8 configuration is done
### Training Data
Number of training sentences: 31,277
**Example Tweets**
- 19823 Daliaan yifn... |
hfl/english-pert-large | 9e1316dd06853a206334e6a2ed694fc61218fb8b | 2022-02-24T02:58:41.000Z | [
"pytorch",
"tf",
"bert",
"feature-extraction",
"en",
"transformers",
"license:cc-by-nc-sa-4.0"
] | feature-extraction | false | hfl | null | hfl/english-pert-large | 12 | 1 | transformers | 10,577 | ---
language:
- en
license: "cc-by-nc-sa-4.0"
---
# Please use 'Bert' related functions to load this model!
# ALL English models are UNCASED (lowercase=True)
Under construction...
Please visit our GitHub repo for more information: https://github.com/ymcui/PERT |
hgiyt/fi-monomodel-mberttok | 6dd0fe39f186c6f9fd10f51cf6578c2fc9ac66bd | 2021-05-19T19:37:49.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | hgiyt | null | hgiyt/fi-monomodel-mberttok | 12 | null | transformers | 10,578 | Entry not found |
howey/electra-base-stsb | a39a3e505787fda1e8b1b6baaebb6ba916fc02e2 | 2021-05-25T06:18:41.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | howey | null | howey/electra-base-stsb | 12 | null | transformers | 10,579 | Entry not found |
howey/electra-large-mnli | e5a82d833f732043b10763aa62767fcb33fb8415 | 2021-06-04T06:34:47.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | howey | null | howey/electra-large-mnli | 12 | null | transformers | 10,580 | Entry not found |
huggingartists/morgenshtern | bcacd40deb48be307eb10e00220e23b78f022608 | 2022-02-05T07:59:26.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:huggingartists/morgenshtern",
"transformers",
"huggingartists",
"lyrics",
"lm-head",
"causal-lm"
] | text-generation | false | huggingartists | null | huggingartists/morgenshtern | 12 | null | transformers | 10,581 | ---
language: en
datasets:
- huggingartists/morgenshtern
tags:
- huggingartists
- lyrics
- lm-head
- causal-lm
widget:
- text: "I am"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; hei... |
huggingartists/tool | dc531bc8afd5f10ee49a1364872ddab44c4df835 | 2022-02-26T22:15:47.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:huggingartists/tool",
"transformers",
"huggingartists",
"lyrics",
"lm-head",
"causal-lm"
] | text-generation | false | huggingartists | null | huggingartists/tool | 12 | null | transformers | 10,582 | ---
language: en
datasets:
- huggingartists/tool
tags:
- huggingartists
- lyrics
- lm-head
- causal-lm
widget:
- text: "I am"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px... |
huggingtweets/glownigga | f727bbf395a77249ff29d685eb0dd9162de62fef | 2021-07-21T22:15:19.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/glownigga | 12 | null | transformers | 10,583 | ---
language: en
thumbnail: https://www.huggingtweets.com/glownigga/1626905715267/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; widt... |
huggingtweets/heaven_ley | 44f9fac2f7ef16d1f41b1b91938b8e594467a5b9 | 2021-05-23T14:18:42.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/heaven_ley | 12 | null | transformers | 10,584 | ---
language: en
thumbnail: https://www.huggingtweets.com/heaven_ley/1621532679555/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; wid... |
huggingtweets/ladygaga | 8ef10766456c477669585a871014b127eff439d7 | 2022-05-12T06:03:03.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/ladygaga | 12 | null | transformers | 10,585 | ---
language: en
thumbnail: http://www.huggingtweets.com/ladygaga/1652335378479/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:... |
huggingtweets/mediocrechris | 3e34c2334ff17b538490a98861b0e892df67f9c2 | 2021-05-22T14:05:36.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/mediocrechris | 12 | null | transformers | 10,586 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1368512... |
huggingtweets/motivational | 1e040ba7e23bdbd59c6737e955fd6999d69f4070 | 2021-08-17T13:30:16.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/motivational | 12 | 1 | transformers | 10,587 | ---
language: en
thumbnail: https://www.huggingtweets.com/motivational/1629207012330/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... |
huggingtweets/rxmaybike | 04a6905f9068f9a8acb5667f60fc966a2a974d15 | 2022-06-16T16:07:49.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/rxmaybike | 12 | null | transformers | 10,588 | ---
language: en
thumbnail: http://www.huggingtweets.com/rxmaybike/1655395664026/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... |
indonesian-nlp/wav2vec2-large-xlsr-indonesian-baseline | 7d6bd34c06d6ade6278c333e910d01d87170a95a | 2021-07-06T06:11:10.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"id",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | indonesian-nlp | null | indonesian-nlp/wav2vec2-large-xlsr-indonesian-baseline | 12 | 1 | transformers | 10,589 | ---
language: id
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Indonesian Baseline by indonesian-nlp
results:
- task:
name: Speech Recognition
type: automatic-speech-recogniti... |
infinitejoy/wav2vec2-large-xls-r-300m-arabic | 7178f1836abaee2c03a0a9b04da25b350606e73f | 2022-03-23T18:28:27.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"model_for_talk",
"mozilla-foundation/common_voice_7_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | infinitejoy | null | infinitejoy/wav2vec2-large-xls-r-300m-arabic | 12 | null | transformers | 10,590 | ---
language:
- ar
license: apache-2.0
tags:
- ar
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- model_for_talk
- mozilla-foundation/common_voice_7_0
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: XLS-R-300M - Arabic
results:
- task:
... |
infinitejoy/wav2vec2-large-xls-r-300m-urdu | c879a3e666477d078f5cfdfa8eaf0e16481ba0f1 | 2022-03-23T18:30:21.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ur",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"model_for_talk",
"mozilla-foundation/common_voice_7_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | infinitejoy | null | infinitejoy/wav2vec2-large-xls-r-300m-urdu | 12 | null | transformers | 10,591 | ---
language:
- ur
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- model_for_talk
- mozilla-foundation/common_voice_7_0
- robust-speech-event
- ur
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: XLS-R-300M - Urdu
results:
- task:
na... |
it5/it5-large-question-generation | 1af827f7f6bc9e7c651a903473d9516b433c23a6 | 2022-03-09T07:56:40.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"it",
"dataset:squad_it",
"arxiv:2203.03759",
"transformers",
"italian",
"sequence-to-sequence",
"question-generation",
"squad_it",
"license:apache-2.0",
"model-index",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | false | it5 | null | it5/it5-large-question-generation | 12 | null | transformers | 10,592 | ---
language:
- it
license: apache-2.0
datasets:
- squad_it
tags:
- italian
- sequence-to-sequence
- question-generation
- squad_it
- text2text-generation
widget:
- text: "Le conoscenze mediche erano stagnanti durante il Medioevo. Il resoconto più autorevole di allora è venuto dalla facoltà di medicina di Parigi in un ... |
it5/it5-small-informal-to-formal | 60e75c14b31e3b2b773706c24cb54e39286f4163 | 2022-03-09T07:47:36.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"it",
"dataset:yahoo/xformal_it",
"arxiv:2203.03759",
"transformers",
"italian",
"sequence-to-sequence",
"style-transfer",
"formality-style-transfer",
"license:apache-2.0",
"model-index",
"co2_eq_emissions",
"autotrain_compatible"... | text2text-generation | false | it5 | null | it5/it5-small-informal-to-formal | 12 | null | transformers | 10,593 | ---
language:
- it
license: apache-2.0
tags:
- italian
- sequence-to-sequence
- style-transfer
- formality-style-transfer
datasets:
- yahoo/xformal_it
widget:
- text: "maronn qualcuno mi spieg' CHECCOSA SUCCEDE?!?!"
- text: "wellaaaaaaa, ma fraté sei proprio troppo simpatiko, grazieeee!!"
- text: "nn capisco xke tt i r... |
izumi-lab/electra-small-paper-japanese-generator | 14f774cc886be4dca345fccae1110205978fdc61 | 2022-03-19T09:40:48.000Z | [
"pytorch",
"electra",
"fill-mask",
"ja",
"dataset:wikipedia",
"arxiv:2003.10555",
"transformers",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | izumi-lab | null | izumi-lab/electra-small-paper-japanese-generator | 12 | null | transformers | 10,594 | ---
language: ja
license: cc-by-sa-4.0
datasets:
- wikipedia
widget:
- text: 東京大学で[MASK]の研究をしています。
---
# ELECTRA small Japanese generator
This is a [ELECTRA](https://github.com/google-research/electra) model pretrained on texts in the Japanese language.
The codes for the pretraining are available at [retarfi/... |
jaesun/dpr-bert-finetuned-klue-retrieval-for-qa | 94be179d7ca66e431d7514b93081bd31e5b7addc | 2022-02-17T18:57:06.000Z | [
"pytorch",
"tensorboard",
"dpr",
"transformers"
] | null | false | jaesun | null | jaesun/dpr-bert-finetuned-klue-retrieval-for-qa | 12 | null | transformers | 10,595 | Entry not found |
jinmang2/pororo-roberta-base-ko-ner | a7425bd7bfa4e8f67e9dec3e4128ed2440f6337a | 2021-12-14T21:11:57.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | jinmang2 | null | jinmang2/pororo-roberta-base-ko-ner | 12 | null | transformers | 10,596 | Entry not found |
jordanhagan/DialoGPT-medium-NegaNetizen | 766f2010e830ca40b6cc83715985acac1cd3e124 | 2021-12-13T21:38:57.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"dataset:Discord transcripts",
"transformers",
"conversational"
] | conversational | false | jordanhagan | null | jordanhagan/DialoGPT-medium-NegaNetizen | 12 | null | transformers | 10,597 | ---
language:
- en # Example: fr
tags:
- conversational # Example: audio
- gpt2 # Example: automatic-speech-recognition
datasets:
- Discord transcripts
---
### About NegaNetizen
Trained on conversations from a friend for use within their discord server.
### How to use
```python
from transformers import AutoMode... |
jpcorb20/pegasus-large-reddit_tifu-samsum-256 | 79773713b0e34249d4af6f456178269b5487951b | 2021-03-20T15:14:53.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"en",
"dataset:samsum",
"transformers",
"google/pegasus-reddit_tifu",
"summarization",
"samsum",
"autotrain_compatible"
] | summarization | false | jpcorb20 | null | jpcorb20/pegasus-large-reddit_tifu-samsum-256 | 12 | null | transformers | 10,598 | ---
language:
- en
thumbnail:
tags:
- pytorch
- google/pegasus-reddit_tifu
- summarization
- samsum
license:
datasets:
- samsum
metrics:
- rouge
---
# Samsum Pegasus (Reddit/TIFU) for conversational summaries
## Model description
Pegasus (Reddit/TIFU) for conversational summaries trained on the samsum dataset!
#... |
junnyu/electra_small_discriminator | b8f43604f7d53fc5c095f4f26ff2549b4f5ce693 | 2021-09-22T08:54:15.000Z | [
"pytorch",
"electra",
"pretraining",
"en",
"dataset:openwebtext",
"transformers",
"license:mit"
] | null | false | junnyu | null | junnyu/electra_small_discriminator | 12 | null | transformers | 10,599 | ---
language: en
thumbnail: https://github.com/junnyu
tags:
- pytorch
- electra
license: mit
datasets:
- openwebtext
---
# 一、 个人在openwebtext数据集上训练得到的electra-small模型
# 二、 复现结果(dev dataset)
|Model|CoLA|SST|MRPC|STS|QQP|MNLI|QNLI|RTE|Avg.|
|---|---|---|---|---|---|---|---|---|---|
|Metrics|MCC|Acc|Acc|Spearman|Acc|Acc|Ac... |
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