modelId stringlengths 4 112 | sha stringlengths 40 40 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringclasses 29
values | private bool 1
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values | __index_level_0__ int64 0 38.5k | readme stringlengths 0 186k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Akashpb13/Galician_xlsr | 6d7c65bc6ee00db4b0dceab044affedd4ea486b5 | 2022-03-24T11:56:24.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"gl",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"robust-speech-event",
"model_for_talk",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Akashpb13 | null | Akashpb13/Galician_xlsr | 18 | null | transformers | 8,700 | ---
language:
- gl
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- gl
- robust-speech-event
- model_for_talk
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: Akashpb13/Galician_xlsr
results:
- task:
... |
AlexMaclean/sentence-compression-roberta | 79c877c8f5a67df3bfe4990da73e290c733134cf | 2021-12-06T04:22:17.000Z | [
"pytorch",
"roberta",
"token-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | AlexMaclean | null | AlexMaclean/sentence-compression-roberta | 18 | 1 | transformers | 8,701 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: sentence-compression-roberta
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, ... |
CAMeL-Lab/bert-base-arabic-camelbert-da-poetry | d1072d4b81dccf65cebc2280f26b518fb474c460 | 2021-10-17T12:09:56.000Z | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | false | CAMeL-Lab | null | CAMeL-Lab/bert-base-arabic-camelbert-da-poetry | 18 | null | transformers | 8,702 | ---
language:
- ar
license: apache-2.0
widget:
- text: 'ุงูุฎูู ูุงูููู ูุงูุจูุฏุงุก ุชุนุฑููู [SEP] ูุงูุณูู ูุงูุฑู
ุญ ูุงููุฑุทุงุณ ูุงูููู
'
---
# CAMeLBERT-DA Poetry Classification Model
## Model description
**CAMeLBERT-DA Poetry Classification Model** is a poetry classification model that was built by fine-tuning the [CAMeLBERT Diale... |
Cinnamon/electra-small-japanese-generator | f74cb40569de2648344639c51b4969b230523ea1 | 2020-12-11T21:26:17.000Z | [
"pytorch",
"electra",
"fill-mask",
"ja",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Cinnamon | null | Cinnamon/electra-small-japanese-generator | 18 | 1 | transformers | 8,703 | ---
language: ja
---
## Japanese ELECTRA-small
We provide a Japanese **ELECTRA-Small** model, as described in [ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators](https://openreview.net/pdf?id=r1xMH1BtvB).
Our pretraining process employs subword units derived from the [Japanese Wikipedia](ht... |
DrishtiSharma/wav2vec2-large-xls-r-300m-bg-d2 | 076b731294cfae58998b40daf54d4595a2667fb0 | 2022-03-23T18:30:10.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"bg",
"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 | DrishtiSharma | null | DrishtiSharma/wav2vec2-large-xls-r-300m-bg-d2 | 18 | 1 | transformers | 8,704 | ---
language:
- bg
license: apache-2.0
tags:
- automatic-speech-recognition
- bg
- 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: wav2vec2-large-xls-r-300m-bg-d2
results:
- task:
name:... |
EasthShin/Android_Ios_Classification | 4058e1b08c146f9f2fc5ed0e64120d728cae1466 | 2021-08-22T16:18:37.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | EasthShin | null | EasthShin/Android_Ios_Classification | 18 | null | transformers | 8,705 | ## Bert-base-uncased for Android-Ios Question Classification
**Code**: See [Ainize Workspace](https://ainize.ai/workspace/create?imageId=hnj95592adzr02xPTqss&git=https://github.com/EastHShin/Android-Ios-Classification-Workspace)
<br>
**Android-Ios-Classification DEMO**: [Ainize Endpoint](https://main-android-ios-class... |
EhsanAghazadeh/xlnet-large-cased-CoLA_C | b710afe83a3a8203502d65a5efef6741b6b8021b | 2021-04-18T18:42:36.000Z | [
"pytorch",
"xlnet",
"text-classification",
"transformers"
] | text-classification | false | EhsanAghazadeh | null | EhsanAghazadeh/xlnet-large-cased-CoLA_C | 18 | null | transformers | 8,706 | Entry not found |
Harveenchadha/wav2vec2-pretrained-clsril-23-10k | 026bd5f2c194197e032c91940b88fdc71455aad8 | 2021-08-06T13:40:49.000Z | [
"pytorch",
"wav2vec2",
"feature-extraction",
"arxiv:2107.07402",
"transformers"
] | feature-extraction | false | Harveenchadha | null | Harveenchadha/wav2vec2-pretrained-clsril-23-10k | 18 | 2 | transformers | 8,707 | ## Overview
We present a CLSRIL-23 (Cross Lingual Speech Representations on Indic Languages), a self supervised learning based audio pre-trained model which learns cross
lingual speech representations from raw audio across **23 Indic languages**. It is built on top of wav2vec
2.0 which is solved by training a contrast... |
Hate-speech-CNERG/dehatebert-mono-italian | aeb70b454d5fc3046aa2a062c525d1ac60f2f01b | 2021-09-25T13:56:50.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"it",
"arxiv:2004.06465",
"transformers",
"license:apache-2.0"
] | text-classification | false | Hate-speech-CNERG | null | Hate-speech-CNERG/dehatebert-mono-italian | 18 | null | transformers | 8,708 | ---
language: it
license: apache-2.0
---
This model is used detecting **hatespeech** in **Italian language**. The mono in the name refers to the monolingual setting, where the model is trained using only English language data. It is finetuned on multilingual bert model.
The model is trained with different learning rate... |
Helsinki-NLP/opus-mt-be-es | fb10b7c6cd82bc7662ce52f2986f927579483fad | 2021-01-18T07:49:34.000Z | [
"pytorch",
"marian",
"text2text-generation",
"be",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-be-es | 18 | null | transformers | 8,709 | ---
language:
- be
- es
tags:
- translation
license: apache-2.0
---
### bel-spa
* source group: Belarusian
* target group: Spanish
* OPUS readme: [bel-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bel-spa/README.md)
* model: transformer-align
* source language(s): bel bel_Latn
* ta... |
Helsinki-NLP/opus-mt-ca-de | 0ba8e70435e98ce0a17866dbf8c3906b1c13a8d7 | 2021-01-18T07:52:44.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ca",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ca-de | 18 | null | transformers | 8,710 | ---
language:
- ca
- de
tags:
- translation
license: apache-2.0
---
### cat-deu
* source group: Catalan
* target group: German
* OPUS readme: [cat-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-deu/README.md)
* model: transformer-align
* source language(s): cat
* target language... |
Helsinki-NLP/opus-mt-da-de | 2e4d10f7054f579178b167e5082b0e57726eee44 | 2021-09-09T21:29:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"da",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-da-de | 18 | null | transformers | 8,711 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-da-de
* source languages: da
* target languages: de
* OPUS readme: [da-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-chk | a57e025c3f8a7a9b20968190b6a6db234ef1541a | 2021-09-09T21:34:34.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"chk",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-chk | 18 | null | transformers | 8,712 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-chk
* source languages: en
* target languages: chk
* OPUS readme: [en-chk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-chk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-crs | 1f25af1f9d1c0680005a9f0d16ed8bb412784c32 | 2021-09-09T21:34:38.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"crs",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-crs | 18 | null | transformers | 8,713 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-crs
* source languages: en
* target languages: crs
* OPUS readme: [en-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-crs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-luo | fafd6071295dbf194acd2bf04cf51f4e46b9f10b | 2021-09-09T21:37:19.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"luo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-luo | 18 | 1 | transformers | 8,714 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-luo
* source languages: en
* target languages: luo
* OPUS readme: [en-luo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-luo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-pon | 78431adc00a85251bad917dd0d99f57b7dff5519 | 2021-09-09T21:38:37.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"pon",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-pon | 18 | null | transformers | 8,715 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-pon
* source languages: en
* target languages: pon
* OPUS readme: [en-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pon/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-run | 71f1ba7d823772630debcf2664556316b29c4bc7 | 2021-09-09T21:38:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"run",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-run | 18 | null | transformers | 8,716 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-run
* source languages: en
* target languages: run
* OPUS readme: [en-run](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-run/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-sn | 8270891c929d30483217b2dd31cd3784b4863da9 | 2021-09-09T21:39:11.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"sn",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-sn | 18 | null | transformers | 8,717 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-sn
* source languages: en
* target languages: sn
* OPUS readme: [en-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-ss | bec263f6023f89a296c8ac5b345772709a8587ad | 2021-09-09T21:39:20.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"ss",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-ss | 18 | null | transformers | 8,718 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-ss
* source languages: en
* target languages: ss
* OPUS readme: [en-ss](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ss/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-swc | d94d46a6b644d279595a3002622e491682a8658d | 2021-09-09T21:39:34.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"swc",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-swc | 18 | null | transformers | 8,719 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-swc
* source languages: en
* target languages: swc
* OPUS readme: [en-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-swc/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-tvl | 515d37d27b5e9781bad9c809e501f68773824d0f | 2021-09-09T21:40:16.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"tvl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-tvl | 18 | null | transformers | 8,720 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-tvl
* source languages: en
* target languages: tvl
* OPUS readme: [en-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tvl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-es-NORWAY | 3c5425e7514f9f47f9822d5947ac5f56d68b572c | 2021-09-09T21:41:05.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"no",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-NORWAY | 18 | null | transformers | 8,721 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-NORWAY
* source languages: es
* target languages: nb_NO,nb,nn_NO,nn,nog,no_nb,no
* OPUS readme: [es-nb_NO+nb+nn_NO+nn+nog+no_nb+no](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-nb_NO+nb+nn_NO+nn+nog+no_nb+no/README.md)
* dataset:... |
Helsinki-NLP/opus-mt-es-lus | 6a8ac408bcb84e553747298b5ae96986398f6e85 | 2021-09-09T21:43:35.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"lus",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-lus | 18 | null | transformers | 8,722 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-lus
* source languages: es
* target languages: lus
* OPUS readme: [es-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-lus/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-fr-he | fd07a640906ea642940eefaf7f5b07fae013ba63 | 2021-01-18T08:43:43.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"he",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-he | 18 | null | transformers | 8,723 | ---
language:
- fr
- he
tags:
- translation
license: apache-2.0
---
### fr-he
* source group: French
* target group: Hebrew
* OPUS readme: [fra-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-heb/README.md)
* model: transformer
* source language(s): fra
* target language(s): heb
* ... |
Helsinki-NLP/opus-mt-fr-to | 3ad564b525751784417060ca0c2e1b3d170cd52c | 2021-09-09T21:57:29.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"to",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-to | 18 | null | transformers | 8,724 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-to
* source languages: fr
* target languages: to
* OPUS readme: [fr-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-to/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-it-ms | c954aae9852f40ee4d8ede1d14fa06b36dd95c36 | 2020-08-21T14:42:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"it",
"ms",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-it-ms | 18 | null | transformers | 8,725 | ---
language:
- it
- ms
tags:
- translation
license: apache-2.0
---
### ita-msa
* source group: Italian
* target group: Malay (macrolanguage)
* OPUS readme: [ita-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-msa/README.md)
* model: transformer-align
* source language(s): ita
* ... |
Helsinki-NLP/opus-mt-lue-en | 1780ade95cbfcd12acec3e3f67218312e3c35ab9 | 2021-09-10T13:56:22.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lue",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lue-en | 18 | null | transformers | 8,726 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lue-en
* source languages: lue
* target languages: en
* OPUS readme: [lue-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-sla-sla | ca62c5189ed8e6593f101da91fe2aadb9bd57f51 | 2020-08-21T14:42:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"be",
"hr",
"mk",
"cs",
"ru",
"pl",
"bg",
"uk",
"sl",
"sla",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sla-sla | 18 | null | transformers | 8,727 | ---
language:
- be
- hr
- mk
- cs
- ru
- pl
- bg
- uk
- sl
- sla
tags:
- translation
license: apache-2.0
---
### sla-sla
* source group: Slavic languages
* target group: Slavic languages
* OPUS readme: [sla-sla](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-sla/README.md)
* model: t... |
Helsinki-NLP/opus-mt-sv-el | 2cd4e62c20d1e0003c3043f60301f4da8fb23a3d | 2021-09-10T14:06:07.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"el",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-el | 18 | null | transformers | 8,728 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-el
* source languages: sv
* target languages: el
* OPUS readme: [sv-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-el/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-toi-en | 5e7d9737899431120886a54d998cc37240c24c06 | 2021-09-11T10:49:09.000Z | [
"pytorch",
"marian",
"text2text-generation",
"toi",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-toi-en | 18 | null | transformers | 8,729 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-toi-en
* source languages: toi
* target languages: en
* OPUS readme: [toi-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
ImAPizza/DialoGPT-medium-albert | 20a574e650fd97c3dcf8d03a0a880285bd437265 | 2021-08-29T11:59:35.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ImAPizza | null | ImAPizza/DialoGPT-medium-albert | 18 | null | transformers | 8,730 | ---
tags:
- conversational
---
# Albert DialoGPT Model |
Ivo/emscad-skill-extraction-conference | 2fedd4e5d2ba4e620e8e1c797faa61b343d83e17 | 2021-06-15T07:59:57.000Z | [
"pytorch",
"tf",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Ivo | null | Ivo/emscad-skill-extraction-conference | 18 | null | transformers | 8,731 | Entry not found |
Kowsher/model-bangla-bert | 11dc9ea77a22f46d65720b5e96beb4b96b19eb67 | 2021-07-05T16:31:40.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Kowsher | null | Kowsher/model-bangla-bert | 18 | 1 | transformers | 8,732 | Entry not found |
LuisG07/wav2vec2-large-xlsr-53-spanish | af2780e93694b39e273467d3fd6e4ae7c824af1f | 2022-04-22T08:38:35.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"es",
"dataset:common_voice",
"dataset:mozilla-foundation/common_voice_6_0",
"transformers",
"audio",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_6_0",
"robust-speech-event",
"speech",
"xlsr-fine-tuning-week",
"lice... | automatic-speech-recognition | false | LuisG07 | null | LuisG07/wav2vec2-large-xlsr-53-spanish | 18 | null | transformers | 8,733 | ---
language: es
license: apache-2.0
datasets:
- common_voice
- mozilla-foundation/common_voice_6_0
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- es
- hf-asr-leaderboard
- mozilla-foundation/common_voice_6_0
- robust-speech-event
- speech
- xlsr-fine-tuning-week
model-index:
- name: XLSR Wav2Vec2 ... |
M-CLIP/Swedish-500k | 0587c780bd4f7ac78b13b767d8fe12de500e8311 | 2021-05-18T21:36:48.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | M-CLIP | null | M-CLIP/Swedish-500k | 18 | null | transformers | 8,734 | <br />
<p align="center">
<h1 align="center">Swe-CLIP 500k</h1>
<p align="center">
<a href="https://github.com/FreddeFrallan/Multilingual-CLIP/tree/main/Model%20Cards/Swe-CLIP%20500k">Github Model Card</a>
</p>
</p>
## Usage
To use this model along with the original CLIP vision encoder you need to down... |
Maaly/body-site | 9a18bcd3b1508a17c86d9ed46bb153f7b42adacd | 2022-05-28T15:32:07.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Maaly | null | Maaly/body-site | 18 | null | transformers | 8,735 | body-site model is a Named Entity Recognition (NER) model that identifies and annotates the body-site of microbiome samples in texts.
The model is a fine-tuned BioBERT model and the training dataset is available in https://gitlab.com/maaly7/emerald_metagenomics_annotations
Testing examples:
1. Scalp hair was colle... |
IlyaGusev/rut5_tox | 03cf6d0fc6f913774af157ecab5518ea628a2674 | 2022-07-13T15:35:03.000Z | [
"pytorch",
"t5",
"text2text-generation",
"ru",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | IlyaGusev | null | IlyaGusev/rut5_tox | 18 | null | transformers | 8,736 | ---
language:
- ru
tags:
- t5
license:
- apache-2.0
inference:
parameters:
num_beams: 5
no_repeat_ngram_size: 4
widget:
- text: "ะงัะพ ััะพ ะทะฐ ะตััะฝะดะฐ?"
---
# RuT5Tox |
MoseliMotsoehli/TswanaBert | 2c47d4212adc73968d90142bd3ae440e5ad472d4 | 2021-05-20T12:13:01.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"tn",
"transformers",
"autotrain_compatible"
] | fill-mask | false | MoseliMotsoehli | null | MoseliMotsoehli/TswanaBert | 18 | null | transformers | 8,737 | ---
language: tn
---
# TswanaBert
Pretrained model on the Tswana language using a masked language modeling (MLM) objective.
## Model Description.
TswanaBERT is a transformer model pre-trained on a corpus of Setswana in a self-supervised fashion by masking part of the input words and training to predict the masks by u... |
MutazYoune/Ara_DialectBERT | 6f89a5650d3b39a100bd83419ee843613b15c680 | 2021-05-18T21:44:01.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"ar",
"dataset:HARD-Arabic-Dataset",
"transformers",
"autotrain_compatible"
] | fill-mask | false | MutazYoune | null | MutazYoune/Ara_DialectBERT | 18 | null | transformers | 8,738 | ---
language: ar
datasets:
- HARD-Arabic-Dataset
---
# Ara-dialect-BERT
We used a pretrained model to further train it on [HARD-Arabic-Dataset](https://github.com/elnagara/HARD-Arabic-Dataset), the weights were initialized using [CAMeL-Lab](https://huggingface.co/CAMeL-Lab/bert-base-camelbert-msa-eighth) "bert-base-cam... |
NDugar/m2m100_418M-fr | b85aaaaad9d123e17324d2e84a87252c75cf671c | 2021-12-07T20:09:49.000Z | [
"pytorch",
"m2m_100",
"text2text-generation",
"dataset:kde4",
"transformers",
"translation",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | translation | false | NDugar | null | NDugar/m2m100_418M-fr | 18 | 1 | transformers | 8,739 | ---
license: mit
tags:
- translation
- generated_from_trainer
datasets:
- kde4
metrics:
- bleu
model-index:
- name: m2m100_418M-fr
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: kde4
type: kde4
args: en-fr
metrics:
- ... |
PurpleJacketGuy/My_Jarvis_2 | 71e3889676c3a7697acf7af8b10af8a6271ebf42 | 2021-11-11T15:50:51.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | PurpleJacketGuy | null | PurpleJacketGuy/My_Jarvis_2 | 18 | null | transformers | 8,740 | ---
tags:
- conversational
---
# Jarvis DialoGPT Model |
RJ3vans/SSMNspanTagger | b3c2799a071ccf9ad47e200b28312ca39e7b528e | 2021-09-07T13:27:38.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | RJ3vans | null | RJ3vans/SSMNspanTagger | 18 | null | transformers | 8,741 | This model identifies complex NPs modified by non-finite nominal clauses ("appositives") in the input sentence.
Try the test sentence:
My name is Sarah and I live in London[,] the capital of England.
Note that accuracy is greatly improved if you place square brackets around the left boundary of the non-finite nomina... |
Radvian/t5_liputan6_finetuned_indonesia_summarization | c03ad9b05f62d1e5fd635db928bebfab97e4c68b | 2021-10-04T04:29:01.000Z | [
"pytorch",
"t5",
"text2text-generation",
"unk",
"dataset:Radvian/autonlp-data-indo_summarization",
"transformers",
"autonlp",
"autotrain_compatible"
] | text2text-generation | false | Radvian | null | Radvian/t5_liputan6_finetuned_indonesia_summarization | 18 | null | transformers | 8,742 | ---
tags: autonlp
language: unk
widget:
- text: "I love AutoNLP ๐ค"
datasets:
- Radvian/autonlp-data-indo_summarization
---
# Model Trained Using AutoNLP
- Problem type: Summarization
- Model ID: 14502562
## Usage
You can use cURL to access this model:
```
$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_... |
RishabhRawatt/DialoGPT-small-Rickmorty | 9765c6355d0903778af326c8d93a5cac6cb5ebfa | 2021-09-05T10:08:44.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | RishabhRawatt | null | RishabhRawatt/DialoGPT-small-Rickmorty | 18 | null | transformers | 8,743 | ---
tags:
- conversational
---
# Rick Morty DialogGPT Model |
Rolv-Arild/xls-r-300m-npsc-2 | 008c3baf7df947c3bf9e59d98f2cb520ce89710d | 2022-02-01T12:54:36.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | Rolv-Arild | null | Rolv-Arild/xls-r-300m-npsc-2 | 18 | null | transformers | 8,744 | Entry not found |
SEBIS/code_trans_t5_large_source_code_summarization_python_multitask | c662d5ce28d50b620de20e9c361631a3ed29e315 | 2021-06-23T09:15:47.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_large_source_code_summarization_python_multitask | 18 | null | transformers | 8,745 | ---
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_php | de4f38660371216b86ed5e007685b7ed8d0115c4 | 2021-06-23T10:07:07.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_small_code_documentation_generation_php | 18 | null | transformers | 8,746 | ---
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... |
StevenLimcorn/MelayuBERT | be522cff4a2bf65a839babd232e45414563d1361 | 2021-06-22T06:37:24.000Z | [
"pytorch",
"tf",
"bert",
"fill-mask",
"ms",
"dataset:oscar",
"arxiv:1810.04805",
"transformers",
"melayu-bert",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | StevenLimcorn | null | StevenLimcorn/MelayuBERT | 18 | null | transformers | 8,747 | ---
language: ms
tags:
- melayu-bert
license: mit
datasets:
- oscar
widget:
- text: "Saya [MASK] makan nasi hari ini."
---
## Melayu BERT
Melayu BERT is a masked language model based on [BERT](https://arxiv.org/abs/1810.04805). It was trained on the [OSCAR](https://huggingface.co/datasets/oscar) dataset, specifically... |
Wiirin/BioBERT-finetuned-PubMed-FoodCancer | acd5a4c6530c0baeb24b0a7c63f8005cb1c41bc4 | 2021-11-08T09:37:51.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Wiirin | null | Wiirin/BioBERT-finetuned-PubMed-FoodCancer | 18 | null | transformers | 8,748 | Entry not found |
aware-ai/xlmroberta-squadv2 | c3dc743e801a1b0133b56b9940c3721d82e0fe7c | 2020-12-11T21:31:05.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"dataset:squad_v2",
"arxiv:1911.02116",
"transformers",
"autotrain_compatible"
] | question-answering | false | aware-ai | null | aware-ai/xlmroberta-squadv2 | 18 | null | transformers | 8,749 | ---
datasets:
- squad_v2
---
# XLM-ROBERTA-LARGE finetuned on SQuADv2
This is xlm-roberta-large model finetuned on SQuADv2 dataset for question answering task
## Model details
XLM-Roberta was propsed in the [paper](https://arxiv.org/pdf/1911.02116.pdf) **XLM-R: State-of-the-art cross-lingual understanding through se... |
aXhyra/presentation_hate_42 | 3cdddfa358fcf3fbdfbb567bca944a89072290ef | 2021-12-15T11:18:17.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:tweet_eval",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | aXhyra | null | aXhyra/presentation_hate_42 | 18 | null | transformers | 8,750 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: presentation_hate_42
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: hate
metrics:
- name: ... |
abdouaziiz/bert-base-wolof | 931394df80af979a0eed0067ec34a122395b5fbe | 2021-11-25T16:35:19.000Z | [
"pytorch",
"bert",
"fill-mask",
"wo",
"transformers",
"language-model",
"wolof",
"autotrain_compatible"
] | fill-mask | false | abdouaziiz | null | abdouaziiz/bert-base-wolof | 18 | null | transformers | 8,751 | ---
language: wo
tags:
- bert
- language-model
- wo
- wolof
---
# Soraberta: Unsupervised Language Model Pre-training for Wolof
**bert-base-wolof** is pretrained bert-base model on wolof language .
## Soraberta models
| Model name | Number of layers | Attention Heads | Embedding Dimension | Total Parameters |
| :... |
abryee/TigXLNet | a98a20399af0bea6af37f271a265862fe11c0064 | 2021-09-21T08:06:12.000Z | [
"pytorch",
"xlnet",
"arxiv:2006.07698",
"transformers"
] | null | false | abryee | null | abryee/TigXLNet | 18 | null | transformers | 8,752 | # Transferring Monolingual Model to Low-Resource Language: The Case Of Tigrinya:
## Proposed Method:
<img src="data/proposed.png" height = "330" width ="760" >
The proposed method transfers a mono-lingual Transformer model into new target language at lexical level by learning new token embeddings. All implementatio... |
addy88/gpt-j-8bit | 33582ecfc865cec71439aba1a5f89363a8094e37 | 2022-01-02T06:34:27.000Z | [
"pytorch",
"gptj",
"text-generation",
"arxiv:2106.09685",
"arxiv:2110.02861",
"transformers"
] | text-generation | false | addy88 | null | addy88/gpt-j-8bit | 18 | 1 | transformers | 8,753 | This Model is 8bit Version of EleutherAI/gpt-j-6B. It is converted by Facebook's bitsandbytes library. The original GPT-J takes 22+ GB memory for float32 parameters alone, and that's before you account for gradients & optimizer. So for finetuning on single GPU This model is converted into 8bit.
Here's how to run it: [... |
airKlizz/xlm-roberta-base-germeval21-toxic-with-task-specific-pretraining | 865b80840ac3c350f0a134ab223b1504d39a20ba | 2021-07-12T14:51:51.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | false | airKlizz | null | airKlizz/xlm-roberta-base-germeval21-toxic-with-task-specific-pretraining | 18 | null | transformers | 8,754 | Entry not found |
airesearch/bert-base-multilingual-cased-finetune-qa | e77e3864b649bacb6cca5a550fde234b5ed2f722 | 2021-07-14T05:50:52.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | airesearch | null | airesearch/bert-base-multilingual-cased-finetune-qa | 18 | null | transformers | 8,755 | ---
widget:
- text: "เธชเธงเธเธเธธเธซเธฅเธฒเธเนเธเนเธเนเธฃเธเนเธฃเธตเธขเธเธญเธฐเนเธฃ"
context: "เนเธฃเธเนเธฃเธตเธขเธเธชเธงเธเธเธธเธซเธฅเธฒเธเธงเธดเธเธขเธฒเธฅเธฑเธข (Suankularb Wittayalai School) (เธญเธฑเธเธฉเธฃเธขเนเธญ : เธช.เธ. / S.K.) เนเธเนเธเนเธฃเธเนเธฃเธตเธขเธเธเธฒเธขเธฅเนเธงเธ เธฃเธฐเธเธฑเธเธเธฑเนเธเธกเธฑเธเธขเธกเธจเธถเธเธฉเธฒเธเธเธฒเธเนเธซเธเนเธเธดเนเธจเธฉ เธชเธฑเธเธเธฑเธเธชเธณเธเธฑเธเธเธฒเธเนเธเธเธเธทเนเธเธเธตเนเธเธฒเธฃเธจเธถเธเธฉเธฒเธกเธฑเธเธขเธกเธจเธถเธเธฉเธฒเนเธเธ 1 เธชเธณเธเธฑเธเธเธฒเธเธเธเธฐเธเธฃเธฃเธกเธเธฒเธฃเธเธฒเธฃเธจเธถเธเธฉเธฒเธเธฑเนเธเธเธทเนเธเธเธฒเธ (เธเธทเนเธญเนเธเธดเธก: เธเธฃเธกเธชเธฒเธกเธฑเธเธจเธถเธเธฉเธฒ) เธเธฃเธฐเธเธฃเธงเธเธจเธถเธเธฉเธฒเธ... |
andi611/bert-large-uncased-ner-conll2003 | ab80bee2b4bb1356bb17e0ae71560c413c5a6622 | 2021-07-04T14:38:08.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | andi611 | null | andi611/bert-large-uncased-ner-conll2003 | 18 | null | transformers | 8,756 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: bert-large-uncased-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
arg... |
arnolfokam/bert-base-uncased-swa | 5a712c5657361aa4742d4fdbd7091f99209222bc | 2021-11-24T11:55:34.000Z | [
"pytorch",
"bert",
"token-classification",
"swa",
"dataset:masakhaner",
"transformers",
"NER",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | arnolfokam | null | arnolfokam/bert-base-uncased-swa | 18 | null | transformers | 8,757 | ---
language:
- swa
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
license: apache-2.0
widget:
- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa, watu takriban 14 zaidi wamepata maambukizi ya Covid-19."
---
# Model description
**bert-base-uncased-swa** is a model based on the fine-tun... |
auday/paraphraser_model2 | 01c537cb8eea999f2396aac169e325089c1e0713 | 2021-06-23T11:30:45.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | auday | null | auday/paraphraser_model2 | 18 | null | transformers | 8,758 | This folder contain a Google T5 Transformer Fine-tuned to generate paraphrases using:
- Quora_pair_train 134337 lines of pair sentences 14 Mbytes
- Quora_pair_val 14928 lines of pair sentences 1.6 Mbytes
training epoch: 6
Start Time: Sun Mar 14 18:27:15 2021
End Time: Sun Mar 14 22:19:00 2021
|
baykenney/bert-large-gpt2detector-topp96 | bc453feb4a5db8afd23d942f8b921a9b2330d080 | 2021-05-19T12:26:23.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | baykenney | null | baykenney/bert-large-gpt2detector-topp96 | 18 | null | transformers | 8,759 | Entry not found |
beomi/beep-klue-roberta-base-hate | 8899a71760fbb528d861e342456bfb8ce77866df | 2021-10-23T06:00:53.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | beomi | null | beomi/beep-klue-roberta-base-hate | 18 | null | transformers | 8,760 | Entry not found |
boronbrown48/topic_otherTopics_v2 | 4ada66be13a006ed98ade81c44f571fcf5033cdb | 2021-11-25T05:21:06.000Z | [
"pytorch",
"camembert",
"text-classification",
"transformers"
] | text-classification | false | boronbrown48 | null | boronbrown48/topic_otherTopics_v2 | 18 | null | transformers | 8,761 | Entry not found |
cahya/roberta-base-indonesian-1.5G | b2fd096430f23671629a5f7fb8bf357aac29c6b3 | 2021-05-20T14:39:51.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | cahya | null | cahya/roberta-base-indonesian-1.5G | 18 | 1 | transformers | 8,762 | Entry not found |
camilodefelipe/t5_squad_v1 | e5d6d8f90afe97ccadfb575e7b1f14757302aaeb | 2021-11-12T06:28:41.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | camilodefelipe | null | camilodefelipe/t5_squad_v1 | 18 | null | transformers | 8,763 | Entry not found |
chinhon/pegasus-newsroom-commentaries_hdwriter | 8a0e533f4cb07eb249fe85a72d60494c326bc2ea | 2022-01-14T12:57:41.000Z | [
"pytorch",
"tensorboard",
"pegasus",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | chinhon | null | chinhon/pegasus-newsroom-commentaries_hdwriter | 18 | 1 | transformers | 8,764 | ---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-newsroom-commentaries_hdwriter
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
#... |
climatebert/distilroberta-base-climate-d-s | b133d6c58cf9c60ee3b0abda664cace43713384b | 2021-10-26T08:22:50.000Z | [
"pytorch",
"roberta",
"fill-mask",
"en",
"arxiv:2110.12010",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | climatebert | null | climatebert/distilroberta-base-climate-d-s | 18 | 3 | transformers | 8,765 | ---
language: en
license: apache-2.0
---
Using the [DistilRoBERTa](https://huggingface.co/distilroberta-base) model as starting point, the ClimateBERT Language Model is additionally pretrained on a text corpus comprising climate-related research paper abstracts, corporate and general news and reports from companies. T... |
coppercitylabs/uzbek-news-category-classifier | e4de92fb1360a2794c719805e3da1da6876edc09 | 2021-09-22T08:17:53.000Z | [
"pytorch",
"bert",
"text-classification",
"uz",
"dataset:webcrawl",
"transformers",
"uzbek",
"cyrillic",
"news category classifier",
"license:mit"
] | text-classification | false | coppercitylabs | null | coppercitylabs/uzbek-news-category-classifier | 18 | 1 | transformers | 8,766 | ---
language: uz
tags:
- uzbek
- cyrillic
- news category classifier
license: mit
datasets:
- webcrawl
---
# Uzbek news category classifier (based on UzBERT)
UzBERT fine-tuned to classify news articles into one of the following
categories:
- ะดัะฝั
- ะถะฐะผะธัั
- ะถะธะฝะพัั
- ะธาัะธัะพะดะธัั
- ะผะฐะดะฐะฝะธัั
- ัะตะบะปะฐะผะฐ
- ัะฐะปะพะผะฐัะปะธะบ
- ัะธั... |
cstorm125/wangchanberta-base-att-spm-uncased-finetune-qa | 2cd542e8d17dc3c60392eed3e86f9bc6bcb6b49e | 2021-07-14T07:24:50.000Z | [
"pytorch",
"camembert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | cstorm125 | null | cstorm125/wangchanberta-base-att-spm-uncased-finetune-qa | 18 | null | transformers | 8,767 | ---
widget:
- text: "เธชเธงเธเธเธธเธซเธฅเธฒเธเนเธเนเธเนเธฃเธเนเธฃเธตเธขเธเธญเธฐเนเธฃ"
context: "เนเธฃเธเนเธฃเธตเธขเธเธชเธงเธเธเธธเธซเธฅเธฒเธเธงเธดเธเธขเธฒเธฅเธฑเธข (Suankularb Wittayalai School) (เธญเธฑเธเธฉเธฃเธขเนเธญ : เธช.เธ. / S.K.) เนเธเนเธเนเธฃเธเนเธฃเธตเธขเธเธเธฒเธขเธฅเนเธงเธ เธฃเธฐเธเธฑเธเธเธฑเนเธเธกเธฑเธเธขเธกเธจเธถเธเธฉเธฒเธเธเธฒเธเนเธซเธเนเธเธดเนเธจเธฉ เธชเธฑเธเธเธฑเธเธชเธณเธเธฑเธเธเธฒเธเนเธเธเธเธทเนเธเธเธตเนเธเธฒเธฃเธจเธถเธเธฉเธฒเธกเธฑเธเธขเธกเธจเธถเธเธฉเธฒเนเธเธ 1 เธชเธณเธเธฑเธเธเธฒเธเธเธเธฐเธเธฃเธฃเธกเธเธฒเธฃเธเธฒเธฃเธจเธถเธเธฉเธฒเธเธฑเนเธเธเธทเนเธเธเธฒเธ (เธเธทเนเธญเนเธเธดเธก: เธเธฃเธกเธชเธฒเธกเธฑเธเธจเธถเธเธฉเธฒ) เธเธฃเธฐเธเธฃเธงเธเธจเธถเธเธฉเธฒเธ... |
danicodes/autonlp-legal-text-summary-457311749 | fdfd2fbdf6c5528ac559ee452f468fe21e0faeab | 2021-12-29T22:18:48.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"unk",
"dataset:danicodes/autonlp-data-legal-text-summary",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | false | danicodes | null | danicodes/autonlp-legal-text-summary-457311749 | 18 | null | transformers | 8,768 | ---
tags: autonlp
language: unk
widget:
- text: "I love AutoNLP ๐ค"
datasets:
- danicodes/autonlp-data-legal-text-summary
co2_eq_emissions: 10.148805588432941
---
# Model Trained Using AutoNLP
- Problem type: Summarization
- Model ID: 457311749
- CO2 Emissions (in grams): 10.148805588432941
## Validation Metrics
- ... |
deepampatel/roberta-mlm-marathi | 88bfb8d8c71aeba202aa1dfc150bb7659013c58b | 2021-05-20T15:58:32.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"mr",
"transformers",
"autotrain_compatible"
] | fill-mask | false | deepampatel | null | deepampatel/roberta-mlm-marathi | 18 | null | transformers | 8,769 | ---
language: "mr"
---
# Welcome to Roberta-Marathi-MLM
## Model Description
> This is a small language model for [Marathi](https://en.wikipedia.org/wiki/Marathi) language with 1M data samples taken from
[OSCAR page](https://oscar-public.huma-num.fr/shuffled/mr_dedup.txt.gz)
## Training params
- **Dataset** - ... |
devansvd/bert-model-test-2 | 0447f102321464ad3e2ac84e573d50ae4d5ca7f4 | 2021-05-19T15:39:56.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | devansvd | null | devansvd/bert-model-test-2 | 18 | null | transformers | 8,770 | Entry not found |
ehdwns1516/gpt2_review_star5 | ffff22224ae9f03ba7964c8804394563bc8ff627 | 2021-07-23T01:07:44.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | ehdwns1516 | null | ehdwns1516/gpt2_review_star5 | 18 | null | transformers | 8,771 | # gpt2_review_star5
* This model has been trained as a review_body dataset with a star of 5 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 ... |
ekkasilina/big_baseline | 0c1e97ab9da06ab6ac73c33dd8325b2040449e0c | 2021-11-01T11:24:41.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | ekkasilina | null | ekkasilina/big_baseline | 18 | null | transformers | 8,772 | Entry not found |
emrecan/bert-base-multilingual-cased-multinli_tr | 34672963e95d65dcb94071a698b039929290465d | 2021-12-01T19:45:01.000Z | [
"pytorch",
"bert",
"text-classification",
"tr",
"dataset:nli_tr",
"transformers",
"zero-shot-classification",
"nli",
"license:apache-2.0"
] | zero-shot-classification | false | emrecan | null | emrecan/bert-base-multilingual-cased-multinli_tr | 18 | null | transformers | 8,773 | ---
language:
- tr
tags:
- zero-shot-classification
- nli
- pytorch
pipeline_tag: zero-shot-classification
license: apache-2.0
datasets:
- nli_tr
widget:
- text: "Dolar yรผkselmeye devam ediyor."
candidate_labels: "ekonomi, siyaset, spor"
- text: "Senaryo รงok saรงmaydฤฑ, beฤendim diyemem."
candidate_labels: "olumlu, o... |
emrecan/convbert-base-turkish-mc4-cased-allnli_tr | 84be0ca74dbb0ac436ee46eef0ddd0f6b47cd579 | 2021-12-02T14:57:01.000Z | [
"pytorch",
"convbert",
"text-classification",
"tr",
"dataset:nli_tr",
"transformers",
"zero-shot-classification",
"nli",
"license:apache-2.0"
] | zero-shot-classification | false | emrecan | null | emrecan/convbert-base-turkish-mc4-cased-allnli_tr | 18 | 1 | transformers | 8,774 | ---
language:
- tr
tags:
- zero-shot-classification
- nli
- pytorch
pipeline_tag: zero-shot-classification
license: apache-2.0
datasets:
- nli_tr
metrics:
- accuracy
widget:
- text: "Dolar yรผkselmeye devam ediyor."
candidate_labels: "ekonomi, siyaset, spor"
- text: "Senaryo รงok saรงmaydฤฑ, beฤendim diyemem."
candidat... |
formermagic/roberta-base-python-1m | bc5b171a877af5ffa621222d6b65eea696ab92aa | 2021-05-20T16:19:17.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"py",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | formermagic | null | formermagic/roberta-base-python-1m | 18 | null | transformers | 8,775 | ---
license: mit
language: py
thumbnail: https://avatars.githubusercontent.com/u/70610668?s=400&u=f0699303289113c125e8686338739d9a63d5826c&v=4
tags:
- roberta
- pytorch
---
# roberta-base-python-1m |
gagan3012/k2t-test3 | 59730f6ff36b5405b0409f8354a548ced295908a | 2021-07-09T19:57:47.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:WebNLG",
"dataset:Dart",
"transformers",
"keytotext",
"k2t",
"Keywords to Sentences",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | gagan3012 | null | gagan3012/k2t-test3 | 18 | null | transformers | 8,776 | ---
language: "en"
thumbnail: "Keywords to Sentences"
tags:
- keytotext
- k2t
- Keywords to Sentences
license: "MIT"
datasets:
- WebNLG
- Dart
metrics:
- NLG
model-index:
- name: k2t-test3
---
#keytotext
[](https://pypi.or... |
gayanin/bart-finetuned-pubmed | 4e130b77b7a026d1296b4bb33b428f777af96b86 | 2021-11-04T11:03:30.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | gayanin | null | gayanin/bart-finetuned-pubmed | 18 | null | transformers | 8,777 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-finetuned-pubmed
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-finetune... |
ghadeermobasher/BC2GM-Gene-Modified_PubMedBERT | 27909a0b5cd4393095ef379fd2961a6cc7d10d8b | 2022-01-22T01:53:24.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC2GM-Gene-Modified_PubMedBERT | 18 | null | transformers | 8,778 | Entry not found |
google/t5-large-ssm-nqo | 3300329c72f0a6770409f50e5de16fb341026fb4 | 2021-06-23T01:42:15.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"dataset:wikipedia",
"dataset:natural_questions",
"arxiv:2002.08909",
"arxiv:1910.10683",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-large-ssm-nqo | 18 | null | transformers | 8,779 | ---
language: en
datasets:
- c4
- wikipedia
- natural_questions
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) for **Closed Book Question Answering**.
The model was pre-trained using T5's denoising objective on [C4](https://huggingface.co/datasets/c4... |
google/t5-xxl-ssm-tqao | e1690965ac9c779c487094e7b49dfd35de4f3ab7 | 2020-12-07T08:37:04.000Z | [
"pytorch",
"tf",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"dataset:wikipedia",
"dataset:trivia_qa",
"arxiv:2002.08909",
"arxiv:1910.10683",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-xxl-ssm-tqao | 18 | null | transformers | 8,780 | ---
language: en
datasets:
- c4
- wikipedia
- trivia_qa
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) for **Closed Book Question Answering**.
The model was pre-trained using T5's denoising objective on [C4](https://huggingface.co/datasets/c4), subse... |
guocheng98/HelsinkiNLP-FineTuned-Legal-es-zh | 59b46b01abdee23f942426e220ea532a5ec030b4 | 2021-06-24T22:54:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"zh",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | guocheng98 | null | guocheng98/HelsinkiNLP-FineTuned-Legal-es-zh | 18 | null | transformers | 8,781 | ---
language:
- es
- zh
tags:
- translation
license: apache-2.0
---
This model is a fine-tuned version of [Helsinki-NLP/opus-tatoeba-es-zh](https://huggingface.co/Helsinki-NLP/opus-tatoeba-es-zh) on a dataset of legal domain constructed by the author himself.
# Intended uses & limitations
This model is the result... |
hfeng/bert_base_uncased_conll2003 | 0cd94e46aeeb6a589b59007d73720ec6311c1188 | 2021-08-23T14:14:40.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | hfeng | null | hfeng/bert_base_uncased_conll2003 | 18 | null | transformers | 8,782 | # BERT base model (uncased) fine-tuned on CoNLL-2003
This model was trained following the PyTorch token-classification example from Hugging Face: https://github.com/huggingface/transformers/tree/master/examples/pytorch/token-classification.
There were no tweaks to the model or dataset.
|
howey/electra-large-squad | b200bdea716385dfb10250cf044958ae0574662b | 2021-06-21T06:12:30.000Z | [
"pytorch",
"electra",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | howey | null | howey/electra-large-squad | 18 | null | transformers | 8,783 | Entry not found |
huggingtweets/beingandslime | 9cc7398a3dcb52316eaabf83cf3e428399e64e83 | 2021-05-21T20:17:38.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/beingandslime | 18 | null | transformers | 8,784 | ---
language: en
thumbnail: https://www.huggingtweets.com/beingandslime/1616648200015/predictions.png
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/13487565930... |
huggingtweets/gohere4porn-onlinepete | 4836c01c942aa5138c179f42015d75cd693c1eba | 2021-07-07T06:07:15.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/gohere4porn-onlinepete | 18 | null | transformers | 8,785 | ---
language: en
thumbnail: https://www.huggingtweets.com/gohere4porn-onlinepete/1625638031693/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-rig... |
huggingtweets/nerdyboy77 | f215e190e0bf6c9cab591f52976c5ad61e91093c | 2021-05-22T16:03:13.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/nerdyboy77 | 18 | null | transformers | 8,786 | ---
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/1275928... |
huggingtweets/thenewfiction | f5b2671ee142d968591d434bd0a8018433f24b7d | 2021-05-23T01:51:01.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/thenewfiction | 18 | null | transformers | 8,787 | ---
language: en
thumbnail: https://www.huggingtweets.com/thenewfiction/1617358718682/predictions.png
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/37880000081... |
ietz/bert-base-uncased-finetuned-jira-jira-issue-titles-and-bodies | 56212b95c8d97343b63887d7bd038f2d717948e8 | 2022-02-04T14:56:48.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | ietz | null | ietz/bert-base-uncased-finetuned-jira-jira-issue-titles-and-bodies | 18 | null | transformers | 8,788 | Entry not found |
imvladikon/wav2vec2-xls-r-300m-hebrew | 98d752fcc0c0383852f1c3947d5fdae94aff2280 | 2022-03-23T18:30:08.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"he",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"robust-speech-event",
"model-index"
] | automatic-speech-recognition | false | imvladikon | null | imvladikon/wav2vec2-xls-r-300m-hebrew | 18 | 1 | transformers | 8,789 | ---
language:
- he
tags:
- automatic-speech-recognition
- generated_from_trainer
- he
- hf-asr-leaderboard
- robust-speech-event
model-index:
- name: wav2vec2-xls-r-300m-hebrew
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Custom Dataset
... |
janpase97/codeformer-pretrained | 4ad0aa950d6abc8e1b5b0176dc398a6ea84003f7 | 2022-03-27T07:57:53.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | janpase97 | null | janpase97/codeformer-pretrained | 18 | null | transformers | 8,790 | Entry not found |
jason9693/soongsil-bert-small | f45d1642a040d497a8640d30856ba10ad53e1003 | 2022-07-13T05:33:10.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"ko",
"transformers",
"autotrain_compatible"
] | fill-mask | false | jason9693 | null | jason9693/soongsil-bert-small | 18 | null | transformers | 8,791 | ---
language: ko
widget:
- ์ญ์ค๋ํ๊ต ๊ธ๋ก๋ฒ<mask>ํ๋ถ
--- |
justin871030/bert-base-uncased-goemotions-group-finetuned | 5db3fc03ed13fb6142250a4630edf07e88f53268 | 2022-02-09T17:22:07.000Z | [
"pytorch",
"bert",
"en",
"dataset:go_emotions",
"transformers",
"go-emotion",
"text-classification",
"license:mit"
] | text-classification | false | justin871030 | null | justin871030/bert-base-uncased-goemotions-group-finetuned | 18 | null | transformers | 8,792 | ---
language: en
tags:
- go-emotion
- text-classification
- pytorch
datasets:
- go_emotions
metrics:
- f1
widget:
- text: "Thanks for giving advice to the people who need it! ๐๐"
license: mit
---
## Model Description
1. Based on the uncased BERT pretrained model with a linear output layer.
2. Added several commonly-... |
l3cube-pune/marathi-albert | 611be7da5adc388935fce74c71af9336526a5c20 | 2022-06-26T15:15:05.000Z | [
"pytorch",
"albert",
"fill-mask",
"mr",
"dataset:L3Cube-MahaCorpus",
"arxiv:2202.01159",
"transformers",
"license:cc-by-4.0",
"autotrain_compatible"
] | fill-mask | false | l3cube-pune | null | l3cube-pune/marathi-albert | 18 | null | transformers | 8,793 | ---
license: cc-by-4.0
language: mr
datasets:
- L3Cube-MahaCorpus
---
## MahaAlBERT
MahaAlBERT is a Marathi AlBERT model trained on L3Cube-MahaCorpus and other publicly available Marathi monolingual datasets.
[dataset link] (https://github.com/l3cube-pune/MarathiNLP)
More details on the dataset, models, and baseline... |
lucasresck/bert-base-cased-ag-news | 3535a9ed0f6b4cbd8608e220818bb9fad87a9714 | 2021-11-09T02:11:29.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:ag_news",
"transformers",
"classification",
"license:mit"
] | text-classification | false | lucasresck | null | lucasresck/bert-base-cased-ag-news | 18 | null | transformers | 8,794 | ---
language:
- en
license: mit
tags:
- bert
- classification
datasets:
- ag_news
metrics:
- accuracy
- f1
- recall
- precision
widget:
- text: "Is it soccer or football?"
example_title: "Sports"
- text: "A new version of Ubuntu was released."
example_title: "Sci/Tech"
---
# bert-base-cased-ag-news
BERT model fin... |
michaelrglass/albert-base-rci-tabmcq-col | 32b590c0503f6ca74f5609c53e11d97e749a62ff | 2021-06-16T16:07:54.000Z | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | false | michaelrglass | null | michaelrglass/albert-base-rci-tabmcq-col | 18 | null | transformers | 8,795 | Entry not found |
mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization | d1c20611b10deaf767b3c1bc819198cca1b957aa | 2020-12-11T21:52:51.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"en",
"dataset:cnn_dailymail",
"transformers",
"summarization",
"license:apache-2.0",
"autotrain_compatible"
] | summarization | false | mrm8488 | null | mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization | 18 | null | transformers | 8,796 | ---
language: en
license: apache-2.0
datasets:
- cnn_dailymail
tags:
- summarization
---
# Bert-mini2Bert-mini Summarization with ๐คEncoderDecoder Framework
This model is a warm-started *BERT2BERT* ([mini](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4)) model fine-tuned on the *CNN/Dailymail* summarization... |
mrm8488/bert-tiny-finetuned-yahoo_answers_topics | f94a9c5a7490e9b6739aaa8b25bd03d71c702f24 | 2021-05-20T00:40:50.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | mrm8488 | null | mrm8488/bert-tiny-finetuned-yahoo_answers_topics | 18 | 1 | transformers | 8,797 | Entry not found |
mrm8488/electricidad-base-finetuned-squadv1-es | b2e6be8b65957af74d8797826b06cc3fee70def6 | 2020-08-21T22:38:53.000Z | [
"pytorch",
"electra",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | mrm8488 | null | mrm8488/electricidad-base-finetuned-squadv1-es | 18 | null | transformers | 8,798 | Entry not found |
mschwab/va_bert_classification | 2985956612d34fc50e84ab8764816557a03bb090 | 2021-11-22T08:38:51.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | mschwab | null | mschwab/va_bert_classification | 18 | null | transformers | 8,799 | Fine-tuned bert-base model for binary vossian antonomasia detection on sentence level. |
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