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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Helsinki-NLP/opus-mt-wls-en | be27f9d60a91dcf8571b7c23f90f41f375fe9bec | 2021-09-11T10:52:08.000Z | [
"pytorch",
"marian",
"text2text-generation",
"wls",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-wls-en | 13 | null | transformers | 10,100 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-wls-en
* source languages: wls
* target languages: en
* OPUS readme: [wls-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/wls-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-zh-bg | 3e0338a917b3900ae60979ce384ca2d40a8d4b85 | 2020-08-21T14:42:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"zh",
"bg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-zh-bg | 13 | null | transformers | 10,101 | ---
language:
- zh
- bg
tags:
- translation
license: apache-2.0
---
### zho-bul
* source group: Chinese
* target group: Bulgarian
* OPUS readme: [zho-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-bul/README.md)
* model: transformer
* source language(s): cmn cmn_Hans cmn_Hant zh... |
HeyLucasLeao/byt5-small-pt-product-reviews | 0282af39a678cf016a1ce451a814d5a6f738a788 | 2021-08-25T17:02:07.000Z | [
"pytorch",
"t5",
"text2text-generation",
"arxiv:2105.13626",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | HeyLucasLeao | null | HeyLucasLeao/byt5-small-pt-product-reviews | 13 | null | transformers | 10,102 | Create README.md
## ByT5 Small Portuguese Product Reviews
#### Model Description
This is a finetuned version from ByT5 Small by Google for Sentimental Analysis from Product Reviews in Portuguese.
##### Paper: https://arxiv.org/abs/2105.13626
#### Training data
It was trained from products reviews from a Americanas.co... |
HueyNemud/berties | 449ee926f5b7b92d0388c6a03575dad62f748ba9 | 2022-02-08T08:47:31.000Z | [
"pytorch",
"camembert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | HueyNemud | null | HueyNemud/berties | 13 | null | transformers | 10,103 | Entry not found |
Javel/linkedin_post_t5 | d1ccb77e221bad4f009af0fb30c622bb5a9ee248 | 2021-06-23T02:28:31.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Javel | null | Javel/linkedin_post_t5 | 13 | null | transformers | 10,104 | Entry not found |
JaviBJ/sagemaker-distilbert-emotion | c527510b63a65f40ee9fb69af41cca7e64c5d8a7 | 2021-11-17T17:02:01.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | JaviBJ | null | JaviBJ/sagemaker-distilbert-emotion | 13 | null | transformers | 10,105 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: sagemaker-distilbert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
... |
Jonesy/DialoGPT-medium_Barney | 12eaf74fbdbdae5a76dae3c6d46f18de72c41c38 | 2022-01-06T23:36:29.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Jonesy | null | Jonesy/DialoGPT-medium_Barney | 13 | null | transformers | 10,106 | ---
tags:
- conversational
---
# Barney Calhoun DialoGPT Model |
JorisCos/VAD_Net | e5ac72157af05eea7d58eb3fef7ed78f7fa7a884 | 2021-11-22T17:17:23.000Z | [
"pytorch",
"dataset:LibriVAD",
"asteroid",
"audio",
"VADNet",
"VAD",
"Voice Activity Detection",
"license:cc-by-sa-4.0"
] | null | false | JorisCos | null | JorisCos/VAD_Net | 13 | null | asteroid | 10,107 | ---
tags:
- asteroid
- audio
- VADNet
- VAD
- Voice Activity Detection
datasets:
- LibriVAD
license: cc-by-sa-4.0
---
## Asteroid model `JorisCos/VAD_Net`
Description:
This model was trained by Joris Cosentino using the librimix recipe in [Asteroid](https://github.com/asteroid-team/asteroid).
It was trained on the `... |
M-FAC/bert-mini-finetuned-qnli | bb1b578b331bd86fe4fbb0fc039cdb631a7b0d0b | 2021-12-13T08:16:16.000Z | [
"pytorch",
"bert",
"text-classification",
"arxiv:2107.03356",
"transformers"
] | text-classification | false | M-FAC | null | M-FAC/bert-mini-finetuned-qnli | 13 | null | transformers | 10,108 | # BERT-mini model finetuned with M-FAC
This model is finetuned on QNLI dataset with state-of-the-art second-order optimizer M-FAC.
Check NeurIPS 2021 paper for more details on M-FAC: [https://arxiv.org/pdf/2107.03356.pdf](https://arxiv.org/pdf/2107.03356.pdf).
## Finetuning setup
For fair comparison against default ... |
M47Labs/it_iptc | e9fc9a2e2575adad2717b7b18974ac774ca3114a | 2021-10-21T10:01:31.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | M47Labs | null | M47Labs/it_iptc | 13 | 3 | transformers | 10,109 | Entry not found |
Maelstrom77/roberta-large-qqp | 823f48f64e13d9de3e48510716ec9a7bb323a31e | 2021-10-04T14:49:15.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | Maelstrom77 | null | Maelstrom77/roberta-large-qqp | 13 | null | transformers | 10,110 | Entry not found |
Maelstrom77/roberta-large-snli | baf82f2ef15463f9393fa8ff9cdf65c0ae7ab41f | 2021-10-04T13:33:01.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | Maelstrom77 | null | Maelstrom77/roberta-large-snli | 13 | null | transformers | 10,111 | Entry not found |
Matthijsvanhof/bert-base-dutch-cased-finetuned-NER8 | f9b4d5f20958a8384f975495050c22f6174add02 | 2021-11-27T23:02:08.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | Matthijsvanhof | null | Matthijsvanhof/bert-base-dutch-cased-finetuned-NER8 | 13 | null | transformers | 10,112 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-dutch-cased-finetuned-NER8
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 ... |
Media1129/keyword-tag-model-4000 | b9fd203e646058b841915c41eac447d5db4211f5 | 2021-08-30T04:49:52.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Media1129 | null | Media1129/keyword-tag-model-4000 | 13 | null | transformers | 10,113 | Entry not found |
MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-French | 5a3e6bcb5cb6ec68d4a596bfe026191da0dc9022 | 2021-07-05T15:56:43.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"fr",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | MehdiHosseiniMoghadam | null | MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-French | 13 | null | transformers | 10,114 | ---
language: fr
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: wav2vec2-large-xlsr-53-French by Mehdi Hosseini Moghadam
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
data... |
NoLawz/DialoGPT-medium-spongebob | 721ef0f41e0e928acda25a53e6f907c48602993d | 2021-08-27T06:18:34.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | NoLawz | null | NoLawz/DialoGPT-medium-spongebob | 13 | null | transformers | 10,115 | ---
tags:
- conversational
---
# Spong Bob DialoGPT medium model |
Nymiz/eus-es | cf34d3019721eca655b3611bd903e701adcad01d | 2022-02-15T12:23:21.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Nymiz | null | Nymiz/eus-es | 13 | null | transformers | 10,116 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: 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 remove this ... |
PereLluis13/Wav2Vec2-Large-XLSR-53-catalan | 5f98c04c12ee1573d3d4ee585da42638ed7de643 | 2022-03-29T08:51:28.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"ca",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | PereLluis13 | null | PereLluis13/Wav2Vec2-Large-XLSR-53-catalan | 13 | null | transformers | 10,117 | ---
language: ca
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Catalan XLSR Wav2Vec Large 53 #TODO: replace {human_readable_name} with a name of your model as it should appear on the leaderboard. It could be... |
PinoCorgi/DialoGPT-small-Shrek1 | deb3157ed384de337a96be13c93cb72dac5c5242 | 2022-02-02T12:56:42.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | PinoCorgi | null | PinoCorgi/DialoGPT-small-Shrek1 | 13 | null | transformers | 10,118 | ---
tags:
- conversational
---
@ Shrek DialoGPT Model
|
PubChimps/dlfBERT | 22e61b852e1ee6444cc38044662d2f9b4064c695 | 2021-05-20T12:18:47.000Z | [
"pytorch",
"jax",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | PubChimps | null | PubChimps/dlfBERT | 13 | null | transformers | 10,119 | Entry not found |
SEBIS/code_trans_t5_base_code_comment_generation_java_multitask | 15fbff39a195ffe8efa1414ce8aab8c4a920e462 | 2021-06-23T04:06:42.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_base_code_comment_generation_java_multitask | 13 | null | transformers | 10,120 | ---
tags:
- summarization
widget:
- text: "protected String renderUri ( URI uri ) { return uri . toASCIIString ( ) ; }"
---
# CodeTrans model for code comment generation java
Pretrained model on programming language java using the t5 base model architecture. It was first released in
[this repository](https://github.... |
SEBIS/code_trans_t5_base_code_comment_generation_java_transfer_learning_finetune | f7499ff947275c82c0f79f908ce0d56912851026 | 2021-06-23T04:10:25.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_base_code_comment_generation_java_transfer_learning_finetune | 13 | null | transformers | 10,121 | ---
tags:
- summarization
widget:
- text: "protected String renderUri ( URI uri ) { return uri . toASCIIString ( ) ; }"
---
# CodeTrans model for code comment generation java
Pretrained model on programming language java using the t5 base model architecture. It was first released in
[this repository](https://github.... |
SEBIS/code_trans_t5_base_code_documentation_generation_php | 96a6e232af10ae0dba04b1c94e7e83747b66d13c | 2021-06-23T04:34:53.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_base_code_documentation_generation_php | 13 | 1 | transformers | 10,122 | ---
tags:
- summarization
widget:
- text: "public static function update ( $ table ) { if ( ! is_array ( $ table ) ) { $ table = json_decode ( $ table , true ) ; } if ( ! SchemaManager :: tableExists ( $ table [ 'oldName' ] ) ) { throw SchemaException :: tableDoesNotExist ( $ table [ 'oldName' ] ) ; } $ updater = new s... |
SEBIS/code_trans_t5_large_source_code_summarization_sql_multitask | 86a3356443077a006a2162422c8312ce93669825 | 2021-06-23T09:37:43.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_large_source_code_summarization_sql_multitask | 13 | null | transformers | 10,123 | ---
tags:
- summarization
widget:
- text: "select time ( col0 ) from tab0"
---
# CodeTrans model for source code summarization sql
Pretrained model on programming language sql using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is t... |
SEBIS/code_trans_t5_small_api_generation_transfer_learning_finetune | 0fbc65f12ab660e8c058a402600dabdb7ca3835d | 2021-06-23T09:55:18.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_small_api_generation_transfer_learning_finetune | 13 | null | transformers | 10,124 | ---
tags:
- summarization
widget:
- text: "parse the uses licence node of this package , if any , and returns the license definition if theres"
---
# CodeTrans model for api recommendation generation
Pretrained model for api recommendation generation using the t5 small model architecture. It was first released in
[t... |
SEBIS/code_trans_t5_small_source_code_summarization_python_multitask_finetune | 9ee7704542205f68824ce6575ee028af2e823d5c | 2021-06-23T10:23:12.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_small_source_code_summarization_python_multitask_finetune | 13 | null | transformers | 10,125 | ---
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/legal_t5_small_trans_de_en | f66662e3ea1a60ff2c4590332e6d83602ec4ae05 | 2021-06-23T09:27:47.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"Deustch English",
"dataset:dcep europarl jrc-acquis",
"transformers",
"translation Deustch English model",
"autotrain_compatible"
] | text2text-generation | false | SEBIS | null | SEBIS/legal_t5_small_trans_de_en | 13 | null | transformers | 10,126 |
---
language: Deustch English
tags:
- translation Deustch English model
datasets:
- dcep europarl jrc-acquis
widget:
- text: "(2) Die Richtlinie 80/987/EWG des Rates(4) soll den Arbeitnehmern im Fall der Zahlungsunfähigkeit ihres Arbeitgebers einen Mindestschutz gewähren. Deshalb verpflichtet sie die Mitgliedstaate... |
SEBIS/legal_t5_small_trans_it_en_small_finetuned | e37e26511d0d670a58ee1982986e604283ebf306 | 2021-06-23T10:01:20.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"Italian English",
"dataset:dcep europarl jrc-acquis",
"transformers",
"translation Italian English model",
"autotrain_compatible"
] | text2text-generation | false | SEBIS | null | SEBIS/legal_t5_small_trans_it_en_small_finetuned | 13 | null | transformers | 10,127 |
---
language: Italian English
tags:
- translation Italian English model
datasets:
- dcep europarl jrc-acquis
widget:
- text: "Supplenti presenti al momento della votazione finale"
---
# legal_t5_small_trans_it_en_small_finetuned model
Model on translating legal text from Italian to English. It was first released... |
Sakil/imdbsentdistilbertmodel | d1d84ceb289bd1b562383a3be84f7ddd27f3269e | 2022-01-16T06:54:14.000Z | [
"pytorch",
"distilbert",
"text-classification",
"en",
"transformers",
"text Classification",
"license:apache-2.0"
] | text-classification | false | Sakil | null | Sakil/imdbsentdistilbertmodel | 13 | null | transformers | 10,128 | ---
language:
- en
tags:
- text Classification
license: apache-2.0
widget:
- text: "I like you. </s></s> I love you."
---
* IMDBSentimentDistilBertModel:
- I have used IMDB movie review dataset to create custom model by using DistilBertForSequenceClassification.
from transformers import DistilBertForSequenceClassif... |
SauravMaheshkar/clr-finetuned-bert-large-uncased | 46e4fec06da3622e3104117e50b01287ac654bb7 | 2021-09-23T15:57:39.000Z | [
"pytorch",
"bert",
"fill-mask",
"dataset:Commonlit-Readibility",
"transformers",
"kaggle",
"license:cc0-1.0",
"autotrain_compatible"
] | fill-mask | false | SauravMaheshkar | null | SauravMaheshkar/clr-finetuned-bert-large-uncased | 13 | null | transformers | 10,129 | ---
thumbnail: https://github.com/SauravMaheshkar/CommonLit-Readibility/blob/main/assets/CommonLit%20-%20Big%20Banner.png?raw=true
tags:
- kaggle
license: cc0-1.0
datasets:
- Commonlit-Readibility
---
![](https://github.com/SauravMaheshkar/CommonLit-Readibility/blob/main/assets/CommonLit%20-%20Big%20Banner.png?raw=true... |
SetFit/distilbert-base-uncased__sst2__train-16-4 | d478815b58d84df9c998d504f66c73d149f6ebfc | 2022-02-10T07:22:51.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | SetFit | null | SetFit/distilbert-base-uncased__sst2__train-16-4 | 13 | null | transformers | 10,130 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased__sst2__train-16-4
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... |
StivenLancheros/biobert-base-cased-v1.2-finetuned-ner-BioNLP13 | 3f77a10a6ee664b2bdf98bc714c0570f18f18024 | 2022-02-23T01:06:02.000Z | [
"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-BioNLP13 | 13 | null | transformers | 10,131 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: biobert-base-cased-v1.2-finetuned-ner-BioNLP13
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... |
TehranNLP-org/roberta-base-qqp-2e-5-42 | d8a2f9142761e327dd555479bbf9000da06e717c | 2021-08-18T01:48:30.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | TehranNLP-org | null | TehranNLP-org/roberta-base-qqp-2e-5-42 | 13 | null | transformers | 10,132 | Entry not found |
ThaiUWA/py_just_rumour | ebb906fa63bd5966a0379247a61607d7b3ec96b9 | 2021-05-21T11:24:26.000Z | [
"pytorch",
"jax",
"gpt2",
"feature-extraction",
"transformers"
] | feature-extraction | false | ThaiUWA | null | ThaiUWA/py_just_rumour | 13 | null | transformers | 10,133 | Entry not found |
Tommy930/distilbert-base-uncased-finetuned-emotion | b190323c070ede64728720e02083961cd484b718 | 2022-02-13T04:43:26.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Tommy930 | null | Tommy930/distilbert-base-uncased-finetuned-emotion | 13 | null | transformers | 10,134 | ---
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... |
WangZeJun/roformer-sim-small-chinese | 9e9b7bedbb18d2974d05a786ee0ee14b89be749d | 2022-06-14T09:17:44.000Z | [
"pytorch",
"transformers"
] | null | false | WangZeJun | null | WangZeJun/roformer-sim-small-chinese | 13 | null | transformers | 10,135 | https://github.com/zejunwang1/bert4vec |
Wende/bert-finetuned-ner1 | 7c025c71ee70c563d71a15a591858524d1a25f25 | 2021-12-23T15:22:54.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Wende | null | Wende/bert-finetuned-ner1 | 13 | null | transformers | 10,136 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner1
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: ... |
Wikidepia/SB-AutoSegment | 56d5349e734c305764dee3937ddcc241b71e772f | 2021-12-26T02:51:08.000Z | [
"pytorch",
"en",
"flair",
"token-classification",
"sequence-tagger-model"
] | token-classification | false | Wikidepia | null | Wikidepia/SB-AutoSegment | 13 | null | flair | 10,137 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language: en
---
# SponsorBlock Auto Segment |
Wikidepia/indobert-lite-squadx | 6b7593e0f8f33d8b2ca61475b1ef22c9ecab5caf | 2021-03-31T13:28:04.000Z | [
"pytorch",
"albert",
"question-answering",
"id",
"transformers",
"autotrain_compatible"
] | question-answering | false | Wikidepia | null | Wikidepia/indobert-lite-squadx | 13 | null | transformers | 10,138 | ---
language: id
widget:
- text: "Kapan Einstein melepas kewarganegaraan Jerman?"
context: "Setelah menghabiskan waktu satu tahun di Praha, Einstein tinggal di Swiss antara tahun 1895 dan 1914, melepas kewarganegaraan Jermannya pada tahun 1896, dan lulus sarjana dari sekolah politeknik federal Swiss (kelak Eidgenössi... |
Worldman/distilbert-base-uncased-finetuned-emotion | f292dc243f0c210c262e7a0dde75cf6df3a0731e | 2022-02-20T21:29:06.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Worldman | null | Worldman/distilbert-base-uncased-finetuned-emotion | 13 | null | transformers | 10,139 | ---
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... |
adamlin/recipe-tag-model | ba5e8ca161f3060d96d5e1ca432dc9329047d095 | 2021-07-25T06:33:50.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | adamlin | null | adamlin/recipe-tag-model | 13 | null | transformers | 10,140 | Entry not found |
addy88/argument-classifier | 85e9d628bb475aa93c109ddc96517fee5d62a881 | 2022-01-02T06:32:08.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | addy88 | null | addy88/argument-classifier | 13 | null | transformers | 10,141 | Entry not found |
adzcodez/TokenClassificationTest | cbb0edbd18f8276b455c1f37ca685007f6441531 | 2021-03-16T14:18:09.000Z | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | adzcodez | null | adzcodez/TokenClassificationTest | 13 | null | transformers | 10,142 | distilbert-base-uncased finetuned on the conll2003 dataset for NER. |
ajrae/bert-base-uncased-finetuned-cola | fb5d3ed8b62c494aad229a326d13c20763a70428 | 2022-02-21T21:40:59.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | ajrae | null | ajrae/bert-base-uncased-finetuned-cola | 13 | null | transformers | 10,143 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metrics:
... |
alireza7/TRANSFORMER-persian-base-wiki-summary | 73350d200502f8386796a991f94c51a125afe1dc | 2021-09-29T19:27:06.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | alireza7 | null | alireza7/TRANSFORMER-persian-base-wiki-summary | 13 | null | transformers | 10,144 | More information about models is available [here](https://github.com/alirezasalemi7/ARMAN). |
andrewlitv/distilbert-base-uncased-finetuned-cola | 6a4ea00e2d87ba7421fa7e4d1d2cf0942ab3eab1 | 2022-06-23T14:31:04.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | andrewlitv | null | andrewlitv/distilbert-base-uncased-finetuned-cola | 13 | null | transformers | 10,145 | Entry not found |
anindabitm/sagemaker-distilbert-emotion | 7ed8bedbc8bfdd17541452970290b79e146a3abf | 2021-11-18T17:43:59.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | anindabitm | null | anindabitm/sagemaker-distilbert-emotion | 13 | null | transformers | 10,146 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: sagemaker-distilbert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
... |
aseifert/t5-base-jfleg-wi | 8de73b607da012873b864af74c079b9ed10fe3dc | 2021-11-19T20:42:37.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | aseifert | null | aseifert/t5-base-jfleg-wi | 13 | null | transformers | 10,147 | Entry not found |
ayameRushia/roberta-base-indonesian-1.5G-sentiment-analysis-smsa | e905df12f6edea2187007c3cc41d06950cb8b9fa | 2021-12-22T10:34:33.000Z | [
"pytorch",
"roberta",
"text-classification",
"dataset:indonlu",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | ayameRushia | null | ayameRushia/roberta-base-indonesian-1.5G-sentiment-analysis-smsa | 13 | null | transformers | 10,148 | ---
tags:
- generated_from_trainer
datasets:
- indonlu
metrics:
- accuracy
model-index:
- name: roberta-base-indonesian-1.5G-sentiment-analysis-smsa
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: indonlu
type: indonlu
args: smsa
metrics:
... |
world-wide/sent-sci-irrelevance | 55195be78960bcd6f42ef4b076b8ec53a4b2ca7b | 2021-11-27T14:16:04.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:bozelosp/autonlp-data-sci-relevance",
"transformers",
"autonlp",
"co2_eq_emissions"
] | text-classification | false | world-wide | null | world-wide/sent-sci-irrelevance | 13 | 1 | transformers | 10,149 | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- bozelosp/autonlp-data-sci-relevance
co2_eq_emissions: 3.667033499762825
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 33199029
- CO2 Emissions (in grams): 3.667033499762825
## Validation Metrics
- Lo... |
cahya/gpt2-small-indonesian-personachat-empathetic | 4f6a14c2d2357c9017f177215aae5369b724d44a | 2022-02-12T00:06:38.000Z | [
"pytorch",
"gpt2",
"transformers"
] | null | false | cahya | null | cahya/gpt2-small-indonesian-personachat-empathetic | 13 | null | transformers | 10,150 | Entry not found |
ccdv/lsg-legal-base-uncased-4096 | e138abd907d58ed15b1672db7f0e801ee1078148 | 2022-07-25T05:28:29.000Z | [
"pytorch",
"bert",
"en",
"transformers",
"long context",
"legal",
"fill-mask"
] | fill-mask | false | ccdv | null | ccdv/lsg-legal-base-uncased-4096 | 13 | null | transformers | 10,151 | ---
language: en
tags:
- long context
- legal
pipeline_tag: fill-mask
---
# LSG model
**Transformers >= 4.18.0**\
**This model relies on a custom modeling file, you need to add trust_remote_code=True**\
**See [\#13467](https://github.com/huggingface/transformers/pull/13467)**
* [Usage](#usage)
* [Parameters](#parame... |
ceyda/wav2vec2-large-xlsr-53-turkish | bca1ede6d3fc08ba66e56eece3f6e54fab7cc78a | 2021-07-06T00:18:28.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"tr",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ceyda | null | ceyda/wav2vec2-large-xlsr-53-turkish | 13 | 1 | transformers | 10,152 | ---
language: tr
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Turkish by Ceyda Cinarel
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset... |
chitra/finetuned-adversarial-paraphrase-modell | 362ddb41356b4451e0e9276b8240f5c386e08db4 | 2022-01-19T13:11:27.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | chitra | null | chitra/finetuned-adversarial-paraphrase-modell | 13 | null | transformers | 10,153 | Entry not found |
copypress/copypress | bf0e6fd8f1df7b70b71575cd0bbcad0813200af1 | 2021-06-12T17:46:29.000Z | [
"pytorch",
"tf",
"jax",
"rust",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | copypress | null | copypress/copypress | 13 | null | transformers | 10,154 | Entry not found |
creat89/NER_FEDA_Cs | 40ab9e767ec8655e1a04ff220a00cb9be3f9e62c | 2022-04-13T09:38:35.000Z | [
"pytorch",
"bert",
"multilingual",
"cs",
"transformers",
"labse",
"ner",
"license:mit"
] | null | false | creat89 | null | creat89/NER_FEDA_Cs | 13 | null | transformers | 10,155 | ---
license: mit
language:
- multilingual
- cs
tags:
- labse
- ner
---
This is a multilingual NER system trained using a Frustratingly Easy Domain Adaptation architecture. It is based on LaBSE and supports different tagsets all using IOBES formats:
1. Wikiann (LOC, PER, ORG)
2. SlavNER 19/21 (EVT, LOC, ORG, P... |
d8oss/gamio-small | 4d9e726ea9b40fb2f192f277b99bc3785e4f169b | 2021-09-14T12:35:20.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | d8oss | null | d8oss/gamio-small | 13 | null | transformers | 10,156 | Entry not found |
danasone/rubert-tiny-speech | a39c56b321efa50b3bd2191c81dd84af022f73c8 | 2022-02-10T15:18:12.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | danasone | null | danasone/rubert-tiny-speech | 13 | null | transformers | 10,157 | Entry not found |
dehio/german-qg-t5-quad | e5eeeeaef49576b5679469f2d186971e4f647ea7 | 2022-01-19T16:36:25.000Z | [
"pytorch",
"t5",
"text2text-generation",
"de",
"dataset:deepset/germanquad",
"transformers",
"question generation",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | dehio | null | dehio/german-qg-t5-quad | 13 | null | transformers | 10,158 | ---
license: mit
widget:
- text: "Obwohl die Vereinigten Staaten wie auch viele Staaten des Commonwealth Erben des <hl>britischen Common Laws<hl> sind, setzt sich das amerikanische Recht bedeutend davon ab."
language:
- de
tags:
- question generation
datasets:
- deepset/germanquad
model-index:
- name: german-qg-t5-quad... |
dkhara/bert-news | 04501f75f31954b526433c44918df03ab53611c3 | 2021-04-28T15:38:51.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | dkhara | null | dkhara/bert-news | 13 | null | transformers | 10,159 | ### Bert-News |
dmiller1/distilbert-base-uncased-finetuned-emotion | 6cdc9e0c15af88e83af3688fecc3c7fcece0f2b3 | 2022-01-18T03:59:30.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | dmiller1 | null | dmiller1/distilbert-base-uncased-finetuned-emotion | 13 | null | transformers | 10,160 | ---
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... |
doc2query/stackexchange-title-body-t5-small-v1 | 8c3d6d603687f5a069707e775da5fed1128d1e17 | 2022-01-07T08:33:30.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:flax-sentence-embeddings/stackexchange_title_body_jsonl",
"arxiv:1904.08375",
"arxiv:2104.08663",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | doc2query | null | doc2query/stackexchange-title-body-t5-small-v1 | 13 | null | transformers | 10,161 | ---
language: en
datasets:
- flax-sentence-embeddings/stackexchange_title_body_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 constructs and obj... |
efederici/it5-base-summarization | 7f5c9afdc546f91bd4f74b1494a13e627ab9003b | 2021-09-30T19:00:46.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"it",
"transformers",
"summarization",
"autotrain_compatible"
] | summarization | false | efederici | null | efederici/it5-base-summarization | 13 | null | transformers | 10,162 | ---
language:
- it
tags:
- summarization
---
# **Italian T5 Abstractive Summarization**
gsarti/it5-base fine-tuned in italian for abstractive text summarization. |
elgeish/cs224n-squad2.0-albert-large-v2 | eaf92e70220ca484217941f33d044ffb4ad9de7c | 2020-12-11T21:38:57.000Z | [
"pytorch",
"albert",
"question-answering",
"arxiv:2004.07067",
"transformers",
"exbert",
"autotrain_compatible"
] | question-answering | false | elgeish | null | elgeish/cs224n-squad2.0-albert-large-v2 | 13 | null | transformers | 10,163 | ---
tags:
- exbert
---
## CS224n SQuAD2.0 Project Dataset
The goal of this model is to save CS224n students GPU time when establishing
baselines to beat for the [Default Final Project](http://web.stanford.edu/class/cs224n/project/default-final-project-handout.pdf).
The training set used to fine-tune this model is the ... |
eliza-dukim/bert-base-finetuned-ynat | 7f45e1b501107d4184f6fa3ce1267b584f25968b | 2021-08-04T10:03:32.000Z | [
"pytorch",
"bert",
"text-classification",
"dataset:klue",
"transformers",
"generated_from_trainer"
] | text-classification | false | eliza-dukim | null | eliza-dukim/bert-base-finetuned-ynat | 13 | null | transformers | 10,164 | ---
tags:
- generated_from_trainer
datasets:
- klue
metrics:
- f1
model_index:
- name: bert-base-finetuned-ynat
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: klue
type: klue
args: ynat
metric:
name: F1
type: f1
value: 0.86... |
ensamblador/gpt2-derecha-with-bos-eos-48heads | 2d81a1a1cdc99d3f4fe2390d8c8ae16e4d7bee1c | 2021-05-21T15:49:43.000Z | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | ensamblador | null | ensamblador/gpt2-derecha-with-bos-eos-48heads | 13 | null | transformers | 10,165 | Entry not found |
ensamblador/gpt2-es-48heads | 5b4bc3c3af930ef4a4580ce2c475f0d5df973e96 | 2021-05-21T15:52:15.000Z | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | ensamblador | null | ensamblador/gpt2-es-48heads | 13 | null | transformers | 10,166 | Entry not found |
ethzanalytics/ai-msgbot-gpt2-XL | 5a20cc1dd6195563d5666c0aa6f963a9b104423b | 2022-01-20T01:40:42.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"dataset:natural questions",
"transformers",
"gpt",
"license:mit"
] | text-generation | false | ethzanalytics | null | ethzanalytics/ai-msgbot-gpt2-XL | 13 | null | transformers | 10,167 | ---
language:
- en
tags:
- text-generation
- gpt2
- gpt
license: mit
datasets:
- natural questions
widget:
- text: "Do you like my new haircut?\nperson beta:\n\n"
example_title: "haircut"
- text: "I love to learn new things.. are you willing to teach me something?\nperson beta:\n\n"
example_title: "teaching"
... |
fdominik98/ner-hu-model-2021 | 221698e40344214254a35055a8dc4ae3d78a4c12 | 2021-12-08T21:34:31.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | fdominik98 | null | fdominik98/ner-hu-model-2021 | 13 | null | transformers | 10,168 | Magyar nyelvű token classification feladatra felkészített BERT modell. |
flax-community/roberta-swahili-news-classification | 415bba1cd4d71d431477a7013b6f627297325b6c | 2021-07-25T10:52:45.000Z | [
"pytorch",
"jax",
"tensorboard",
"roberta",
"text-classification",
"sw",
"dataset:flax-community/swahili-safi",
"transformers"
] | text-classification | false | flax-community | null | flax-community/roberta-swahili-news-classification | 13 | null | transformers | 10,169 | ---
language: sw
widget:
- text: "Idris ameandika kwenye ukurasa wake wa Instagram akimkumbusha Diamond kutekeleza ahadi yake kumpigia Zari magoti kumuomba msamaha kama alivyowahi kueleza awali.Idris ameandika;"
datasets:
- flax-community/swahili-safi
---
## Swahili News Classification with RoBERTa
This model was tr... |
ghadeermobasher/BC4_Modified-bluebert_pubmed_uncased_L-12_H-768_A-12 | 235adf5fa88c727b6fb3df8fb07339e87d1e7e56 | 2022-02-22T20:08:48.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4_Modified-bluebert_pubmed_uncased_L-12_H-768_A-12 | 13 | null | transformers | 10,170 | Entry not found |
glob-asr/xls-r-es-test-lm | a1d118795c3350b3fb2876e4d30cf29cdbe4ffe7 | 2022-03-23T18:26:19.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"es",
"dataset:mozilla-foundation/common_voice_8_0",
"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 | glob-asr | null | glob-asr/xls-r-es-test-lm | 13 | null | transformers | 10,171 | ---
language:
- es
license: apache-2.0
tags:
- automatic-speech-recognition
- es
- generated_from_trainer
- hf-asr-leaderboard
- mozilla-foundation/common_voice_8_0
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: xls-r-es-test-lm
results:
- task:
name: Automatic Spee... |
google/t5-efficient-small-el16 | 255572c8fd526d7034bccd2bd2fa82ce6ca55bcb | 2022-02-15T10:57:43.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-small-el16 | 13 | 1 | transformers | 10,172 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-SMALL-EL16 (Deep-Narrow version)
T5-Efficient-SMALL-EL16 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architect... |
google/t5-efficient-xl-nl12 | 290c6580f196abe58d1ac72d3f5ac01461e6f5f1 | 2022-02-15T10:57:37.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-xl-nl12 | 13 | 1 | transformers | 10,173 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-XL-NL12 (Deep-Narrow version)
T5-Efficient-XL-NL12 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architecture](h... |
google/tapas-mini-finetuned-sqa | a96c94625773691bf48c424d4f3c3079d869fe34 | 2021-11-29T13:10:09.000Z | [
"pytorch",
"tf",
"tapas",
"table-question-answering",
"en",
"dataset:msr_sqa",
"arxiv:2004.02349",
"arxiv:2010.00571",
"transformers",
"license:apache-2.0"
] | table-question-answering | false | google | null | google/tapas-mini-finetuned-sqa | 13 | 1 | transformers | 10,174 | ---
language: en
tags:
- tapas
license: apache-2.0
datasets:
- msr_sqa
---
# TAPAS mini model fine-tuned on Sequential Question Answering (SQA)
This model has 2 versions which can be used. The default version corresponds to the `tapas_sqa_inter_masklm_mini_reset` checkpoint of the [original Github repository](https:/... |
hfl/chinese-electra-180g-large-generator | e3bbab438ed06d3372e2c118f3ad86ea73e65376 | 2021-03-03T01:27:24.000Z | [
"pytorch",
"tf",
"electra",
"zh",
"arxiv:2004.13922",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | false | hfl | null | hfl/chinese-electra-180g-large-generator | 13 | null | transformers | 10,175 | ---
language:
- zh
license: "apache-2.0"
pipeline_tag: "fill-mask"
---
# This model is trained on 180G data, we recommend using this one than the original version.
## Chinese ELECTRA
Google and Stanford University released a new pre-trained model called ELECTRA, which has a much compact model size and relatively com... |
howey/electra-large-squad2 | 721cb8eafe5e3b0cfdaea49f10fb20fbcb63a54b | 2021-06-15T03:49:42.000Z | [
"pytorch",
"electra",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | howey | null | howey/electra-large-squad2 | 13 | null | transformers | 10,176 | Entry not found |
huggingartists/adele | 2b69ef91081a5c6922fce8bb8e5a3bc489f879fd | 2021-10-20T04:50:21.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:huggingartists/adele",
"transformers",
"huggingartists",
"lyrics",
"lm-head",
"causal-lm"
] | text-generation | false | huggingartists | null | huggingartists/adele | 13 | null | transformers | 10,177 | ---
language: en
datasets:
- huggingartists/adele
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:92p... |
huggingartists/muse | bc4aa5d490ee7a3aa94762b67059377ea787b82e | 2021-09-23T11:41:30.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:huggingartists/muse",
"transformers",
"huggingartists",
"lyrics",
"lm-head",
"causal-lm"
] | text-generation | false | huggingartists | null | huggingartists/muse | 13 | null | transformers | 10,178 | ---
language: en
datasets:
- huggingartists/muse
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... |
huggingartists/the-beatles | 7612f16f9c7ff044b345552ec76e6ba020a2b1ef | 2022-02-27T11:47:43.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:huggingartists/the-beatles",
"transformers",
"huggingartists",
"lyrics",
"lm-head",
"causal-lm"
] | text-generation | false | huggingartists | null | huggingartists/the-beatles | 13 | null | transformers | 10,179 | ---
language: en
datasets:
- huggingartists/the-beatles
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; heig... |
huggingtweets/dril-hostagekiller-suicidepussy | db09a25ce9c1bce635f4fd5ef4371328c8fbaef3 | 2022-01-10T10:25:29.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/dril-hostagekiller-suicidepussy | 13 | null | transformers | 10,180 | ---
language: en
thumbnail: http://www.huggingtweets.com/dril-hostagekiller-suicidepussy/1641810324627/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; ma... |
huggingtweets/logo_daedalus | 28f16ea83fff3a2d9e25c8ad6175df48226913a4 | 2022-07-01T22:12:42.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/logo_daedalus | 13 | null | transformers | 10,181 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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: 4... |
infinitejoy/wav2vec2-large-xls-r-300m-tatar | b51bf6f5dc695a6233f081dc329e7f071d4fe6ec | 2022-03-24T11:52:33.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"tt",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"mozilla-foundation/common_voice_7_0",
"generated_from_trainer",
"robust-speech-event",
"model_for_talk",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | infinitejoy | null | infinitejoy/wav2vec2-large-xls-r-300m-tatar | 13 | null | transformers | 10,182 | ---
language:
- tt
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_7_0
- generated_from_trainer
- tt
- robust-speech-event
- model_for_talk
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: XLS-R-300M - Tatar
results:
- task:
n... |
it5/it5-large-headline-generation | 6c5a865e663942d85a8ac6843c56b3e6bae2233a | 2022-03-09T07:59:47.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"it",
"dataset:gsarti/change_it",
"arxiv:2203.03759",
"transformers",
"italian",
"sequence-to-sequence",
"newspaper",
"ilgiornale",
"repubblica",
"headline-generation",
"license:apache-2.0",
"model-index",
"co2_... | text2text-generation | false | it5 | null | it5/it5-large-headline-generation | 13 | null | transformers | 10,183 | ---
language:
- it
license: apache-2.0
datasets:
- gsarti/change_it
tags:
- italian
- sequence-to-sequence
- newspaper
- ilgiornale
- repubblica
- headline-generation
widget:
- text: "WASHINGTON - La Corea del Nord torna dopo nove anni nella blacklist Usa degli Stati considerati sponsor del terrorismo. Come Iran, Siria... |
it5/mt5-base-formal-to-informal | 3f009d964085cd9a54db70f743c40a161675201e | 2022-03-09T07:44:08.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"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",
"auto... | text2text-generation | false | it5 | null | it5/mt5-base-formal-to-informal | 13 | null | transformers | 10,184 | ---
language:
- it
license: apache-2.0
tags:
- italian
- sequence-to-sequence
- style-transfer
- formality-style-transfer
datasets:
- yahoo/xformal_it
widget:
- text: "Questa performance è a dir poco spiacevole."
- text: "In attesa di un Suo cortese riscontro, Le auguriamo un piacevole proseguimento di giornata."
- tex... |
jonfd/electra-base-igc-is | e2921de06b441e2a3066da485d6fa31cf5c816a8 | 2022-01-05T14:54:23.000Z | [
"pytorch",
"electra",
"pretraining",
"is",
"dataset:igc",
"transformers",
"license:cc-by-4.0"
] | null | false | jonfd | null | jonfd/electra-base-igc-is | 13 | null | transformers | 10,185 | ---
language:
- is
license: cc-by-4.0
datasets:
- igc
---
# Icelandic ELECTRA-Base
This model was pretrained on the [Icelandic Gigaword Corpus](http://igc.arnastofnun.is/), which contains approximately 1.69B tokens, using default settings. The model uses a WordPiece tokenizer with a vocabulary size of 32,105.
# Ackno... |
kaporter/bert-base-uncased-finetuned-squad | 3aa55a541df2d16870d3ca5074673d7f90cc008d | 2021-11-30T22:42:17.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | kaporter | null | kaporter/bert-base-uncased-finetuned-squad | 13 | null | transformers | 10,186 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model_index:
- name: bert-base-uncased-finetuned-squad
results:
- task:
name: Question Answering
type: question-answering
dataset:
name: squad
type: squad
args: plain_text
---
<!-- This model card has been ge... |
krevas/finance-electra-small-generator | b2132e311db62d3567cdb24e3b4822814f2d8ce5 | 2020-07-09T05:47:53.000Z | [
"pytorch",
"electra",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | krevas | null | krevas/finance-electra-small-generator | 13 | null | transformers | 10,187 | Entry not found |
leonweber/PEDL | a02c96ba7996c1d89b796c251d6163e0aaad187f | 2021-06-16T09:19:35.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | leonweber | null | leonweber/PEDL | 13 | null | transformers | 10,188 | Entry not found |
lvwerra/gpt2-medium-taboo | acdbb5d8843d8fcc6373d8e0fefae0f77fb3fdc7 | 2021-05-23T08:40:35.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | lvwerra | null | lvwerra/gpt2-medium-taboo | 13 | null | transformers | 10,189 | # GPT-2 (medium) Taboo
## What is it?
A fine-tuned GPT-2 version for Taboo cards generation.
## Training setting
The model was trained on ~900 Taboo cards in the following format for 100 epochs:
```
Describe the word Glitch without using the words Problem, Unexpected, Technology, Minor, Outage.
````
|
madlag/bert-large-uncased-wwm-squadv2-x2.15-f83.2-d25-hybrid-v1 | 23d3a42f78c42887cecbb3d1584299790bebdfa4 | 2021-06-16T17:10:27.000Z | [
"pytorch",
"tf",
"bert",
"question-answering",
"en",
"dataset:squad_v2",
"transformers",
"license:mit",
"autotrain_compatible"
] | question-answering | false | madlag | null | madlag/bert-large-uncased-wwm-squadv2-x2.15-f83.2-d25-hybrid-v1 | 13 | null | transformers | 10,190 | ---
language: en
thumbnail:
license: mit
tags:
- question-answering
-
-
datasets:
- squad_v2
metrics:
- squad_v2
widget:
- text: "Where is the Eiffel Tower located?"
context: "The Eiffel Tower is a wrought-iron lattice tower on the Champ de Mars in Paris, France. It is named after the engineer Gustave Eiffel, whose... |
mbeukman/xlm-roberta-base-finetuned-igbo-finetuned-ner-swahili | 5c566e84e39460721bf4085407c50e614ca09c0a | 2021-11-25T09:04:02.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"sw",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-igbo-finetuned-ner-swahili | 13 | null | transformers | 10,191 | ---
language:
- sw
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi wamepata maambukizi ya Covid - 19 ."
---
# xlm-roberta-base-finetuned-igbo-finetuned-ner-swahili
This is a token classification (spec... |
mbeukman/xlm-roberta-base-finetuned-ner-luo | f7fea8aedb45790b6a89018658165aafb45d0b45 | 2021-11-25T09:04:35.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"luo",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-ner-luo | 13 | null | transformers | 10,192 | ---
language:
- luo
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Jii 2 moko jowito ngimagi ka machielo 1 to ohinyore marach mokalo e masira makoch mar apaya mane otimore e apaya mawuok Oyugis kochimo Chabera e sub county ma Rachuonyo East e County ma Homa Bay ewii odhiambo ... |
microsoft/wavlm-base-sv | 0a23162ffc49adcf42bdf836a00cb2eb45af3601 | 2022-03-25T12:05:52.000Z | [
"pytorch",
"wavlm",
"audio-xvector",
"en",
"arxiv:2110.13900",
"transformers",
"speech"
] | null | false | microsoft | null | microsoft/wavlm-base-sv | 13 | null | transformers | 10,193 | ---
language:
- en
tags:
- speech
---
# WavLM-Base for Speaker Verification
[Microsoft's WavLM](https://github.com/microsoft/unilm/tree/master/wavlm)
The model was pretrained on 16kHz sampled speech audio with utterance and speaker contrastive loss. When using the model, make sure that your speech input is also samp... |
mishig/my-awesome-model | 22931baac60296ee00a8cd9d2a32b81a2dd95973 | 2021-08-25T10:28:44.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | mishig | null | mishig/my-awesome-model | 13 | null | transformers | 10,194 | # Sentiment Classification by pretraining bert-base-cased
A test repo exploring HF Model Hub by following https://huggingface.co/transformers/model_sharing.html |
motiondew/set_date_1_bert-base-uncased_finetuned_with_haystack | 112229ba4ceeed57709eefb27823026442cf7529 | 2021-06-21T17:04:17.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | motiondew | null | motiondew/set_date_1_bert-base-uncased_finetuned_with_haystack | 13 | null | transformers | 10,195 | Entry not found |
mrm8488/bert-tiny-finetuned-fake-news-detection | 77911c5829206b123f51dbcfca5f663175315365 | 2021-10-15T16:00:12.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"en",
"transformers"
] | text-classification | false | mrm8488 | null | mrm8488/bert-tiny-finetuned-fake-news-detection | 13 | null | transformers | 10,196 | ---
language: en
widget:
- text: "It s official the inmates are running the asylum A police department in Northampton, Massachusetts is ending its High-Five Friday program at local elementary schools due to concerns that undocumented children and others may feel uncomfortable seeing an officer at school.The progr... |
mrm8488/dilstilgpt2-finetuned-amazon-food-reviews | e78b56780a5e49a26552239cd2d0511059de9dfa | 2021-05-23T10:18:52.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | mrm8488 | null | mrm8488/dilstilgpt2-finetuned-amazon-food-reviews | 13 | null | transformers | 10,197 | Entry not found |
neuralspace-reverie/indic-transformers-hi-roberta | bd8da7eb1560f26b91f7de06d3c687bded57ce16 | 2021-05-20T18:48:28.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"hi",
"transformers",
"MaskedLM",
"Hindi",
"RoBERTa",
"Question-Answering",
"Token Classification",
"Text Classification",
"autotrain_compatible"
] | fill-mask | false | neuralspace-reverie | null | neuralspace-reverie/indic-transformers-hi-roberta | 13 | null | transformers | 10,198 | ---
language:
- hi
tags:
- MaskedLM
- Hindi
- RoBERTa
- Question-Answering
- Token Classification
- Text Classification
---
# Indic-Transformers Hindi RoBERTa
## Model description
This is a RoBERTa language model pre-trained on ~10 GB of monolingual training corpus. The pre-training data was majorly taken from [OSCAR... |
nihaldsouza1/yelp-rating-classification | 2360a7d5df325ba5a47033cb0807eb2550e72d23 | 2022-02-10T02:51:54.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:nihaldsouza1/autonlp-data-yelp-rating-classification",
"transformers",
"autonlp",
"co2_eq_emissions"
] | text-classification | false | nihaldsouza1 | null | nihaldsouza1/yelp-rating-classification | 13 | 1 | transformers | 10,199 | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- nihaldsouza1/autonlp-data-yelp-rating-classification
co2_eq_emissions: 15.62335109262394
---
# Custom-trained user model
- Problem type: Multi-class Classification
- Model ID: 545015430
- CO2 Emissions (in grams): 15.62335109262394
## Val... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.