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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
flax-community/gpt-neo-125M-apps-all | 07e6b8b31e0811b0d9f7704885d85a278524d732 | 2021-09-22T08:25:32.000Z | [
"pytorch",
"jax",
"gpt_neo",
"text-generation",
"en",
"python",
"dataset:apps",
"arxiv:2107.03374",
"transformers",
"code_synthesis",
"license:mit"
] | text-generation | false | flax-community | null | flax-community/gpt-neo-125M-apps-all | 33 | 1 | transformers | 6,900 | ---
language:
- en
- python
license: mit
tags:
- gpt_neo
- code_synthesis
datasets:
- apps
---
# GPT-Neo-125M-APPS-all
> **Please refer to our new [GitHub Wiki](https://github.com/ncoop57/gpt-code-clippy/wiki) which documents our efforts in detail in creating the open source version of GitHub Copilot**
## Model Des... |
flax-community/indonesian-roberta-large | 7b7aa942cd309b9b52b1bcacd545cdc69f05b460 | 2021-07-17T05:08:15.000Z | [
"pytorch",
"jax",
"tensorboard",
"roberta",
"fill-mask",
"id",
"dataset:oscar",
"arxiv:1907.11692",
"transformers",
"indonesian-roberta-large",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | flax-community | null | flax-community/indonesian-roberta-large | 33 | null | transformers | 6,901 | ---
language: id
tags:
- indonesian-roberta-large
license: mit
datasets:
- oscar
widget:
- text: "Budi telat ke sekolah karena ia <mask>."
---
## Indonesian RoBERTa Large
Indonesian RoBERTa Large is a masked language model based on the [RoBERTa](https://arxiv.org/abs/1907.11692) model. It was trained on the [OS... |
flax-community/nordic-roberta-wiki | 9f04008402a530e55d0195bf46e80b23e8c4f254 | 2021-09-23T13:53:50.000Z | [
"pytorch",
"jax",
"tensorboard",
"roberta",
"feature-extraction",
"sv",
"transformers",
"swedish",
"license:cc-by-4.0",
"fill-mask"
] | fill-mask | false | flax-community | null | flax-community/nordic-roberta-wiki | 33 | null | transformers | 6,902 | ---
language: sv
license: cc-by-4.0
tags:
- swedish
- roberta
pipeline_tag: fill-mask
widget:
- text: Meninged med livet är <mask>.
---
# Nordic Roberta Wikipedia
## Description
Nord roberta model trainined on the swedish danish and norwegian wikipedia.
## Evaluation
Evaluation on Named Entity recognition in Danish.
... |
aware-ai/wav2vec2-large-xlsr-53-german-with-lm | f471bbd879e77314c80cea3474ac63c9e66945b6 | 2022-06-01T13:29:04.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"de",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | aware-ai | null | aware-ai/wav2vec2-large-xlsr-53-german-with-lm | 33 | 6 | transformers | 6,903 | ---
language: de
datasets:
- common_voice
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
- hf-asr-leaderboard
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 German with LM by Florian Zimmermeister @A\\Ware
results:
- task:
name: Speech Recognition
... |
huggingtweets/indiburger | d38235989538a01b4f6f8aeaaf46b629f6a786c4 | 2021-05-22T08:11:57.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/indiburger | 33 | null | transformers | 6,904 | ---
language: en
thumbnail: https://www.huggingtweets.com/indiburger/1614096163881/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/13578462609343... |
huggingtweets/outsideness | 107446ae2fc0f5e90f7e6ed76336a9b90272fc3e | 2021-05-22T17:48:19.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/outsideness | 33 | null | transformers | 6,905 | ---
language: en
thumbnail: https://www.huggingtweets.com/outsideness/1616711218187/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/1041148970972... |
huggingtweets/realdjcthulhu | 0967d1393f878dc0605a34562ecd6735204b015f | 2021-05-22T20:31:43.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/realdjcthulhu | 33 | null | transformers | 6,906 | ---
language: en
thumbnail: https://www.huggingtweets.com/realdjcthulhu/1616764319021/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/13603351882... |
manandey/gpt2-entity | 84fa3579825de710dad28e103234a7eb2e5f3684 | 2021-09-26T03:43:00.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | manandey | null | manandey/gpt2-entity | 33 | null | transformers | 6,907 | This is a gpt-2 model trained on 4000 rows of this [dataset](https://huggingface.co/datasets/bs-modeling-metadata/OSCAR_Entity_13_000).
Code to generate text using this model:
```
from transformers import AutoModelWithLMHead, AutoTokenizer
text = "The students pursuing their masters at Harvard [[" #Special token us... |
mrm8488/bert2bert_shared-finetuned-wikisql | 6df47ae69efed40a7fc906b8db4d1993a09bda48 | 2020-11-12T03:28:24.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mrm8488 | null | mrm8488/bert2bert_shared-finetuned-wikisql | 33 | null | transformers | 6,908 | Entry not found |
neuralspace-reverie/indic-transformers-te-roberta | ee43b91ca0e84fef89b7bb6cb544a739842e1135 | 2021-05-20T18:49:21.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"te",
"transformers",
"MaskedLM",
"Telugu",
"RoBERTa",
"Question-Answering",
"Token Classification",
"Text Classification",
"autotrain_compatible"
] | fill-mask | false | neuralspace-reverie | null | neuralspace-reverie/indic-transformers-te-roberta | 33 | null | transformers | 6,909 | ---
language:
- te
tags:
- MaskedLM
- Telugu
- RoBERTa
- Question-Answering
- Token Classification
- Text Classification
---
# Indic-Transformers Telugu RoBERTa
## Model description
This is a RoBERTa language model pre-trained on ~2 GB of monolingual training corpus. The pre-training data was majorly taken from [OSCAR... |
patrickvonplaten/roberta_shared_bbc_xsum | 7cc174b2bc81ad8d075ceddbc74dd27bc80fd7dd | 2020-12-11T21:59:29.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"en",
"dataset:xsum",
"transformers",
"summarization",
"license:apache-2.0",
"autotrain_compatible"
] | summarization | false | patrickvonplaten | null | patrickvonplaten/roberta_shared_bbc_xsum | 33 | 1 | transformers | 6,910 | ---
language: en
license: apache-2.0
datasets:
- xsum
tags:
- summarization
---
Shared RoBERTa2RoBERTa Summarization with 🤗EncoderDecoder Framework
This model is a warm-started *RoBERTaShared* model fine-tuned on the *BBC XSum* summarization dataset.
The model achieves a **16.89** ROUGE-2 score on *BBC XSUM*'s test ... |
pucpr/eHelpBERTpt | c21e53464931334d981053961445986a041cef02 | 2021-08-30T19:02:19.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | pucpr | null | pucpr/eHelpBERTpt | 33 | 1 | transformers | 6,911 | eHelpBERTpt |
sberbank-ai/ruclip-vit-base-patch16-384 | ec61756baf20c034ec1345e9394101b347e13d8a | 2022-01-11T02:29:57.000Z | [
"pytorch",
"transformers"
] | null | false | sberbank-ai | null | sberbank-ai/ruclip-vit-base-patch16-384 | 33 | null | transformers | 6,912 | # ruclip-vit-base-patch16-384
**RuCLIP** (**Ru**ssian **C**ontrastive **L**anguage–**I**mage **P**retraining) is a multimodal model
for obtaining images and text similarities and rearranging captions and pictures.
RuCLIP builds on a large body of work on zero-shot transfer, computer vision, natural language processi... |
shahrukhx01/schema-aware-distilbart-cnn-12-6-text2sql | d98dcb1ddf1460f430d186379a8925efed4341af | 2021-09-07T07:17:51.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"wikisql",
"text2sql",
"autotrain_compatible"
] | text2text-generation | false | shahrukhx01 | null | shahrukhx01/schema-aware-distilbart-cnn-12-6-text2sql | 33 | null | transformers | 6,913 | ---
tags:
- wikisql
- text2sql
---
```python
from transformers import BartTokenizer, BartForConditionalGeneration, BartConfig
model = BartForConditionalGeneration.from_pretrained('shahrukhx01/schema-aware-distilbart-cnn-12-6-text2sql')
tokenizer = BartTokenizer.from_pretrained('shahrukhx01/schema-aware-distilbart-cnn-1... |
sshleifer/opus-mt-en-he | 49a30403fb3734339ae92f2d17ca92a751303b78 | 2020-10-11T17:14:27.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"he",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | sshleifer | null | sshleifer/opus-mt-en-he | 33 | null | transformers | 6,914 | ---
language:
- en
- he
tags:
- translation
license: apache-2.0
---
### en-he
* source group: English
* target group: Hebrew
* OPUS readme: [eng-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-heb/README.md)
* model: transformer
* source language(s): eng
* target language(s): heb... |
vitouphy/wav2vec2-xls-r-300m-khmer | b72f9550c45336c69997e32bd7b0fc3ad3120e5f | 2022-05-16T16:03:40.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"km",
"transformers",
"openslr",
"robust-speech-event",
"generated_from_trainer",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | vitouphy | null | vitouphy/wav2vec2-xls-r-300m-khmer | 33 | null | transformers | 6,915 | ---
language:
- km
license: apache-2.0
tags:
- automatic-speech-recognition
- openslr
- robust-speech-event
- km
- generated_from_trainer
- hf-asr-leaderboard
model-index:
- name: xls-r-300m-km
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: OpenSLR ... |
yoelvis/topical-segmentation-sensitive | 653f06ba94d5ca419eac1403c046bb00f48e3bdc | 2021-10-26T13:38:28.000Z | [
"pytorch",
"longformer",
"text-classification",
"transformers"
] | text-classification | false | yoelvis | null | yoelvis/topical-segmentation-sensitive | 33 | null | transformers | 6,916 | Entry not found |
mrm8488/biomedtra-small-finenuned-clinical-ner | 4f9d653ad42c709b1d5678975421d86925f7283f | 2022-02-26T21:09:08.000Z | [
"pytorch",
"tensorboard",
"electra",
"token-classification",
"es",
"transformers",
"clinical",
"pii",
"ner",
"medical",
"autotrain_compatible"
] | token-classification | false | mrm8488 | null | mrm8488/biomedtra-small-finenuned-clinical-ner | 33 | 2 | transformers | 6,917 | ---
language: es
tags:
- clinical
- pii
- ner
- medical
widget:
- text: '
Nombre: Carolina .
Apellidos: Ardoain Suarez.
NASS: 12397565 54.
Domicilio: C/ Viamonte, 166 - piso 1º.
Localidad/ Provincia: Buenos Aires.
CP: C1008.
NHC: 794612.
Datos asistenciales.
Fecha de nacimiento: 28/02/1979.
País: Argentina.
Edad: 35 S... |
malmarjeh/gpt2 | e4f01da210fdfbe36518986d993fc4eef3108182 | 2022-06-29T14:17:24.000Z | [
"pytorch",
"gpt2",
"text-generation",
"ar",
"transformers",
"AraGPT2",
"GPT-2",
"MSA",
"Arabic Text Summarization",
"Arabic News Title Generation",
"Arabic Paraphrasing"
] | text-generation | false | malmarjeh | null | malmarjeh/gpt2 | 33 | 1 | transformers | 6,918 | ---
language:
- ar
tags:
- AraGPT2
- GPT-2
- MSA
- Arabic Text Summarization
- Arabic News Title Generation
- Arabic Paraphrasing
widget:
- text: ""
---
# An Arabic abstractive text summarization model
A fine-tuned AraGPT2 model on a dataset of 84,764 paragraph-summary pairs.
More details on the fine-... |
izumi-lab/bert-base-japanese-fin-additional | 52b3eb700739deb1793692c94704053cebb64c9c | 2022-03-19T09:22:59.000Z | [
"pytorch",
"bert",
"pretraining",
"ja",
"dataset:securities reports",
"dataset:summaries of financial results",
"arxiv:1810.04805",
"transformers",
"finance",
"license:cc-by-sa-4.0"
] | null | false | izumi-lab | null | izumi-lab/bert-base-japanese-fin-additional | 33 | null | transformers | 6,919 | ---
language: ja
license: cc-by-sa-4.0
tags:
- finance
datasets:
- securities reports
- summaries of financial results
widget:
- text: 流動[MASK]は、1億円となりました。
---
# Additional pretrained BERT base Japanese finance
This is a [BERT](https://github.com/google-research/bert) model pretrained on texts in the Japane... |
KoichiYasuoka/bert-base-slavic-cyrillic-upos | 6d7be125188ec0c8989606e3222d5c0b13007fc0 | 2022-03-22T14:40:48.000Z | [
"pytorch",
"bert",
"token-classification",
"be",
"bg",
"ru",
"sr",
"uk",
"dataset:universal_dependencies",
"transformers",
"belarusian",
"bulgarian",
"russian",
"serbian",
"ukrainian",
"pos",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/bert-base-slavic-cyrillic-upos | 33 | null | transformers | 6,920 | ---
language:
- "be"
- "bg"
- "ru"
- "sr"
- "uk"
tags:
- "belarusian"
- "bulgarian"
- "russian"
- "serbian"
- "ukrainian"
- "token-classification"
- "pos"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
---
# bert-base-slavic-cyrillic-upos
## Mo... |
hackathon-pln-es/bertin-roberta-base-zeroshot-esnli | 2cede861bf6d47b99dc0496a5c68b9dcca051efd | 2022-04-05T21:46:10.000Z | [
"pytorch",
"roberta",
"text-classification",
"es",
"dataset:hackathon-pln-es/nli-es",
"transformers",
"zero-shot-classification",
"nli"
] | zero-shot-classification | false | hackathon-pln-es | null | hackathon-pln-es/bertin-roberta-base-zeroshot-esnli | 33 | 2 | transformers | 6,921 | ---
pipeline_tag: zero-shot-classification
tags:
- zero-shot-classification
- nli
language:
- es
datasets:
- hackathon-pln-es/nli-es
widget:
- text: "Para detener la pandemia, es importante que todos se presenten a vacunarse."
candidate_labels: "salud, deporte, entretenimiento"
---
# A zero-shot classifier based on... |
frasermince/longformer-fake-news | 3c3da4d83b273405a86a890b346d676155c591e2 | 2022-04-06T20:47:29.000Z | [
"pytorch",
"longformer",
"text-classification",
"transformers"
] | text-classification | false | frasermince | null | frasermince/longformer-fake-news | 33 | null | transformers | 6,922 | Entry not found |
birgermoell/psst-fairseq-voice-clone | 98196bad09223ee6ed3822d5e2597719fa575a8f | 2022-04-07T08:49:18.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | birgermoell | null | birgermoell/psst-fairseq-voice-clone | 33 | null | transformers | 6,923 | Entry not found |
GroNLP/wav2vec2-dutch-large-ft-cgn | cf534ab0a0f9c0c98899a9629630f3d355422e77 | 2022-04-08T12:39:07.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"nl",
"transformers",
"speech"
] | automatic-speech-recognition | false | GroNLP | null | GroNLP/wav2vec2-dutch-large-ft-cgn | 33 | null | transformers | 6,924 | ---
language: nl
tags:
- speech
---
# Wav2Vec2-Dutch-Large-ft-CGN
A Dutch Wav2Vec2 model. This model is created by further pre-training the original English [`facebook/wav2vec2-large`](https://huggingface.co/facebook/wav2vec2-large) model on Dutch speech from [Het Corpus Gesproken Nederlands](https://taalmaterialen.i... |
doc2query/msmarco-french-mt5-base-v1 | f77064e4fbdfa0ade8180387b0bdf06b433af631 | 2022-04-29T11:53:01.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"fr",
"dataset:unicamp-dl/mmarco",
"arxiv:1904.08375",
"arxiv:2104.08663",
"arxiv:2112.07577",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | doc2query | null | doc2query/msmarco-french-mt5-base-v1 | 33 | 1 | transformers | 6,925 | ---
language: fr
datasets:
- unicamp-dl/mmarco
widget:
- text: "Python (prononcé /pi.tɔ̃/) est un langage de programmation interprété, multi-paradigme et multiplateformes. Il favorise la programmation impérative structurée, fonctionnelle et orientée objet. Il est doté d'un typage dynamique fort, d'une gestion auto... |
hf-internal-testing/wav2vec2-conformer-seq-class | fbfe92184d2e43d2e77c3bc7648e51bacefb7309 | 2022-05-01T16:03:22.000Z | [
"pytorch",
"wav2vec2-conformer",
"audio-classification",
"transformers"
] | audio-classification | false | hf-internal-testing | null | hf-internal-testing/wav2vec2-conformer-seq-class | 33 | null | transformers | 6,926 | Entry not found |
kyryl0s/gpt2-uk-zno-edition | e868a93020032f518008b7116adb40586347d9aa | 2022-05-18T11:40:06.000Z | [
"pytorch",
"gpt2",
"text-generation",
"uk",
"transformers",
"license:afl-3.0"
] | text-generation | false | kyryl0s | null | kyryl0s/gpt2-uk-zno-edition | 33 | 1 | transformers | 6,927 | ---
license: afl-3.0
language: uk
---
## GPT2 trained to generate ЗНО (Ukrainian exam SAT type of thing) essays
Generated texts are not very cohesive yet but I'm working on it. <br />
The Hosted inference API outputs (on the right) are too short for some reason. Trying to fix it. <br />
Use the code from the example b... |
subhasisj/Zh-Mulitlingual-MiniLM | 2cd6c35df521cd1e53b4e417aeb30a581a4e9ea4 | 2022-05-08T21:19:00.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | fill-mask | false | subhasisj | null | subhasisj/Zh-Mulitlingual-MiniLM | 33 | null | transformers | 6,928 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: Zh-Mulitlingual-MiniLM
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. -->
# Zh-Mulitlingual-Min... |
ibm/qcpg-captions | 40d25fbd79142f71fa2142440179b445627132c5 | 2022-05-18T10:57:02.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | ibm | null | ibm/qcpg-captions | 33 | null | transformers | 6,929 | Entry not found |
Mim/biobert-procell-demo | f2bab18a4d0efa56832b247546309a734e2e1ef8 | 2022-05-22T13:46:29.000Z | [
"pytorch",
"bert",
"text-classification",
"unk",
"dataset:Mim/autotrain-data-biobert-procell",
"transformers",
"biobert",
"co2_eq_emissions"
] | text-classification | false | Mim | null | Mim/biobert-procell-demo | 33 | 1 | transformers | 6,930 | ---
tags: biobert
language: unk
widget:
- text: "Cell lines expressing proteins 🤗"
datasets:
- Mim/autotrain-data-biobert-procell
co2_eq_emissions: 0.5988414315305852
---
# Model Trained Using biobert
- Problem type: Binary Classification
- Model ID: 896229149
- CO2 Emissions (in grams): 0.5988414315305852
## Valid... |
Manishkalra/finetuning-movie-sentiment-model-9000-samples | 8177a5c837fb63edfd090626b566ba56246eed9f | 2022-05-23T12:15:51.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Manishkalra | null | Manishkalra/finetuning-movie-sentiment-model-9000-samples | 33 | null | transformers | 6,931 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-movie-sentiment-model-9000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
... |
huggingtweets/dlputin | 59b27d65a6e578fc10bfc1dbed802ffa0358601e | 2022-05-27T10:48:58.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/dlputin | 33 | null | transformers | 6,932 | ---
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... |
danielhou13/longformer-finetuned_papers | 681141290b6a3387020d0b27cc0da20b5b9f8e22 | 2022-05-29T23:38:02.000Z | [
"pytorch",
"longformer",
"text-classification",
"transformers"
] | text-classification | false | danielhou13 | null | danielhou13/longformer-finetuned_papers | 33 | null | transformers | 6,933 | Entry not found |
momo/KcELECTRA-base_Hate_speech_Privacy_Detection | 377bd51a2760310222460c71677b5660707a5cac | 2022-06-04T16:25:45.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers",
"license:apache-2.0"
] | text-classification | false | momo | null | momo/KcELECTRA-base_Hate_speech_Privacy_Detection | 33 | null | transformers | 6,934 | ---
license: apache-2.0
---
|
hezar-ai/test | cfa75dcf5e2a24b7fccd0e2759d6c9eefcc9914e | 2022-07-29T08:22:25.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"transformers"
] | feature-extraction | false | hezar-ai | null | hezar-ai/test | 33 | null | transformers | 6,935 | Entry not found |
kabelomalapane/En-Ts | dec2e5599f9d5a9424e1495f606a48f4703e4928 | 2022-06-09T17:33:20.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"translation",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | translation | false | kabelomalapane | null | kabelomalapane/En-Ts | 33 | null | transformers | 6,936 | ---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: En-Ts
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. -->
#... |
binay1999/distilbert-base-cased-finetuned-cybersecuritytexts | 676f791bf2a8b0fddaf22676aae377ebf1067ccf | 2022-06-10T18:14:00.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | binay1999 | null | binay1999/distilbert-base-cased-finetuned-cybersecuritytexts | 33 | null | transformers | 6,937 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-cased-finetuned-cybersecuritytexts
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 ... |
parinzee/mT5-small-thai-multiple-e2e-qg | 4d7b1d4a7fc48aee77f845aca935bf39ec38ce04 | 2022-06-15T10:36:43.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"license:agpl-3.0",
"autotrain_compatible"
] | text2text-generation | false | parinzee | null | parinzee/mT5-small-thai-multiple-e2e-qg | 33 | null | transformers | 6,938 | ---
license: agpl-3.0
---
|
cahya/abstract-generator | 3af6689c224513fccd2e5487fdad21f8a8ac37cf | 2022-06-16T14:26:44.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"license:cc"
] | text-generation | false | cahya | null | cahya/abstract-generator | 33 | null | transformers | 6,939 | ---
license: cc
---
|
adamlin/chinese-sentence-paraphraser | 38442011a5479b3989fc4ca66f9ed287cb65c07c | 2022-06-16T16:19:01.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | adamlin | null | adamlin/chinese-sentence-paraphraser | 33 | null | transformers | 6,940 | Entry not found |
robingeibel/bigbird-base-finetuned-big_patent | 734b986aacb37a7d5fc5d202ce4c3d4026731f65 | 2022-06-29T12:35:25.000Z | [
"pytorch",
"tensorboard",
"big_bird",
"fill-mask",
"dataset:big_patent",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | robingeibel | null | robingeibel/bigbird-base-finetuned-big_patent | 33 | null | transformers | 6,941 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- big_patent
model-index:
- name: bigbird-base-finetuned-big_patent
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... |
anahitapld/t5-DBD | 3ddbdfef91528af30f8f6ab95471b15c3f2eedf4 | 2022-06-29T07:22:45.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | anahitapld | null | anahitapld/t5-DBD | 33 | null | transformers | 6,942 | ---
license: apache-2.0
---
|
ClassCat/roberta-base-catalan | 1b6e14b5fa18ff4645c2e8d2cb79b46334e478f2 | 2022-07-14T11:36:43.000Z | [
"pytorch",
"roberta",
"fill-mask",
"ca",
"dataset:wikipedia",
"dataset:cc100",
"transformers",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | ClassCat | null | ClassCat/roberta-base-catalan | 33 | 1 | transformers | 6,943 | ---
language: ca
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
widget:
- text: "És molt <mask> per a mi."
- text: "Vas jugar a <mask>."
- text: "Ell està una mica <mask>."
- text: "És un bon <mask>."
- text: "M'agradaria menjar una <mask>."
---
## RoBERTa Catalan base model (Uncased)
### Prerequisites
transfor... |
kzkymn/autotrain-livedoor_news_summarization-1065437005 | edececdfaf418f55d55210a66d0cf09ef91c7b1f | 2022-07-01T08:34:06.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"ja",
"dataset:kzkymn/autotrain-data-livedoor_news_summarization",
"transformers",
"autotrain",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | false | kzkymn | null | kzkymn/autotrain-livedoor_news_summarization-1065437005 | 33 | null | transformers | 6,944 | ---
tags: autotrain
language: ja
widget:
- text: "I love AutoTrain 🤗"
datasets:
- kzkymn/autotrain-data-livedoor_news_summarization
co2_eq_emissions: 1.854603770877255
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 1065437005
- CO2 Emissions (in grams): 1.854603770877255
## Validation... |
satyamrajawat1994/tinybert-fincorp | b4f587c70eea9d1927dc60a8af340aa2a173fcf9 | 2022-07-05T15:45:50.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | satyamrajawat1994 | null | satyamrajawat1994/tinybert-fincorp | 33 | null | transformers | 6,945 | Entry not found |
juanna/gptdc | 8a49498a8ef1a062ad07fd3b1aead77086e4383d | 2022-07-07T15:13:14.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | juanna | null | juanna/gptdc | 33 | null | transformers | 6,946 | skt에서 만든 gptdc를 ainize 서비스를 이용해서 훈련시키고 huggingface에서 시뮬레이션 합니다 |
kabelomalapane/Nso-En | 79654735532c1746fae282b248d68063ad5f8032 | 2022-07-07T14:20:43.000Z | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"transformers",
"translation",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | translation | false | kabelomalapane | null | kabelomalapane/Nso-En | 33 | null | transformers | 6,947 | ---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Nso-En
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
... |
nloc2578/new1 | 3b693b3bfd24e5a84d28114a7884f1bcb70969ad | 2022-07-11T17:28:08.000Z | [
"pytorch",
"tensorboard",
"pegasus",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | nloc2578 | null | nloc2578/new1 | 33 | null | transformers | 6,948 | ---
tags:
- generated_from_trainer
model-index:
- name: new1
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. -->
# new1
This model is a fine-tuned version of [googl... |
mariolinml/roberta_large-chunking_0715_v0 | 52240f0e5e8cf3788135d2c272c24e99c171bce1 | 2022-07-15T14:50:16.000Z | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | mariolinml | null | mariolinml/roberta_large-chunking_0715_v0 | 33 | null | transformers | 6,949 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta_large-chunking_0715_v0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it... |
figurative-nlp/Chinese-Simile-Generation | fee3b3dc4501b0be97cb947cbb8f5a8f73666551 | 2022-07-16T14:32:39.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | figurative-nlp | null | figurative-nlp/Chinese-Simile-Generation | 33 | 1 | transformers | 6,950 | chinese-simile-generative 是一个将句子A改写成带有修辞手法(主要为比喻，明喻)的句子B的seq2seq模型。
A： 想当初对你的定级是很高的，现在我很伤心，看到你的科研进度这么慢。
B： 想当初对你的定级是很高的，现在我很伤心，看到你的科研进度像蜗牛一样慢。
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("figurative-nlp/chinese-simile-generation")
model ... |
shengnan/visualize-cst-v0-pre10w-preseed1 | c76a7d238ef7c75fa89a57f6700a425c71b5ed10 | 2022-07-18T02:57:41.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | shengnan | null | shengnan/visualize-cst-v0-pre10w-preseed1 | 33 | null | transformers | 6,951 | Entry not found |
shengnan/visualize-v0-pre1k-preseed1 | ef1bd8e94e4be90645b6c51308ac46227976a048 | 2022-07-18T04:39:23.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | shengnan | null | shengnan/visualize-v0-pre1k-preseed1 | 33 | null | transformers | 6,952 | Entry not found |
Tomas23/twitter-roberta-base-mar2022-finetuned-emotion | f09c8e0fe639cd83c0fec1726c54334878907694 | 2022-07-19T09:48:08.000Z | [
"pytorch",
"roberta",
"text-classification",
"dataset:tweet_eval",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | Tomas23 | null | Tomas23/twitter-roberta-base-mar2022-finetuned-emotion | 33 | null | transformers | 6,953 | ---
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- accuracy
- f1
model-index:
- name: twitter-roberta-base-mar2022-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
m... |
mingu/mt5-base-finetuned-korquad | 55f209d6f72d230fd7d7b087c3346cc350c298a5 | 2022-07-19T12:10:12.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"question answering",
"autotrain_compatible"
] | text2text-generation | false | mingu | null | mingu/mt5-base-finetuned-korquad | 33 | null | transformers | 6,954 | ---
tags:
- question answering
---
This is the t5 model, fine-tuned using the KorQuAD dataset. It's been trained on question-answer pairs for the task of Question Answering.
# KorQuAD MT5 Model |
kalpeshk2011/rankgen-t5-base-all | 48f9fa0e3b5f7c9a3cff6d2c81f4a890db6919a8 | 2022-07-23T16:20:27.000Z | [
"pytorch",
"t5",
"en",
"dataset:Wikipedia",
"dataset:PG19",
"dataset:Project Gutenberg",
"dataset:C4",
"dataset:relic",
"dataset:ChapterBreak",
"dataset:HellaSwag",
"dataset:ROCStories",
"transformers",
"contrastive learning",
"ranking",
"decoding",
"metric learning",
"text generatio... | null | false | kalpeshk2011 | null | kalpeshk2011/rankgen-t5-base-all | 33 | null | transformers | 6,955 | ---
language:
- en
thumbnail: "https://pbs.twimg.com/media/FThx_rEWAAEoujW?format=jpg&name=medium"
tags:
- t5
- contrastive learning
- ranking
- decoding
- metric learning
- pytorch
- text generation
- retrieval
license: "apache-2.0"
datasets:
- Wikipedia
- PG19
- Project Gutenberg
- C4
- relic
- ChapterBreak
- Hell... |
Shenzy2/NER4DesignTutor | 8a5c42f3ea31f1afc20c5b58d78c725b0f2e7b5b | 2022-07-26T03:23:50.000Z | [
"pytorch",
"bert",
"token-classification",
"en",
"dataset:Shenzy2/autotrain-data-NER4DesignTutor",
"transformers",
"autotrain",
"co2_eq_emissions",
"autotrain_compatible"
] | token-classification | false | Shenzy2 | null | Shenzy2/NER4DesignTutor | 33 | null | transformers | 6,956 | ---
tags: autotrain
language: en
widget:
- text: "Why is the username the largest part of each card?"
datasets:
- Shenzy2/autotrain-data-NER4DesignTutor
co2_eq_emissions: 0.004032656988228696
---
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 1169643336
- CO2 Emissions (in grams): 0.004... |
Gpaiva/NERDE-base | 268c187000dda0de0300cfd8796ba47f453469b5 | 2022-07-28T16:59:31.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:nerde",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | Gpaiva | null | Gpaiva/NERDE-base | 33 | null | transformers | 6,957 | ---
tags:
- generated_from_trainer
datasets:
- nerde
widget:
- text: "Considerando-se os argumentos elencados pela Peticionária, infere-se que a CNH Industrial detém legítimo interesse pelo caso em epígrafe, visto que pode ser afetada pela decisão a ser adotada pelo Cade sobre a Operação, constatação que autoriza o enq... |
BigSalmon/BestMask2 | c6b89c594ed9db65eb217292034cd7e516a7b92b | 2021-09-24T17:42:18.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | BigSalmon | null | BigSalmon/BestMask2 | 32 | null | transformers | 6,958 | Entry not found |
CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-egy | b129f39fdc7de0eba666067a9085e679dd9d485e | 2021-10-18T10:18:01.000Z | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | CAMeL-Lab | null | CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-egy | 32 | null | transformers | 6,959 | ---
language:
- ar
license: apache-2.0
widget:
- text: 'عامل ايه ؟'
---
# CAMeLBERT-CA POS-EGY Model
## Model description
**CAMeLBERT-CA POS-EGY Model** is a Egyptian Arabic POS tagging model that was built by fine-tuning the [CAMeLBERT-CA](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca/) model.
For t... |
EMBO/sd-ner | fe2334a8c79041d82076742612235b04fb191f36 | 2022-03-27T13:27:31.000Z | [
"pytorch",
"jax",
"roberta",
"token-classification",
"english",
"dataset:EMBO/sd-nlp",
"transformers",
"token classification",
"license:agpl-3.0",
"autotrain_compatible"
] | token-classification | false | EMBO | null | EMBO/sd-ner | 32 | null | transformers | 6,960 | ---
language:
- english
thumbnail:
tags:
- token classification
license: agpl-3.0
datasets:
- EMBO/sd-nlp
metrics:
-
---
# sd-ner
## Model description
This model is a [RoBERTa base model](https://huggingface.co/roberta-base) that was further trained using a masked language modeling task on a compendium of English ... |
EasthShin/Youth_Chatbot_Kogpt2-base | 4fb38f9a359bf509d915e47520139f8a9b5e1322 | 2021-08-22T16:28:22.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | EasthShin | null | EasthShin/Youth_Chatbot_Kogpt2-base | 32 | null | transformers | 6,961 | ## Youth_Chatbot_KoGPT2-base
**Demo Web**: [Ainize Endpoint](https://main-youth-chatbot-ko-gpt2-base-east-h-shin.endpoint.ainize.ai/)
<br>
**Demo Web Code**: [Github](https://github.com/EastHShin/Youth_Chatbot_KoGPT2-base)
<br>
**Youth-Chatbot API**: [Ainize API](https://ainize.ai/EastHShin/Youth_Chatbot_KoGPT2-base_A... |
Helsinki-NLP/opus-mt-en-mg | 83bbfea3148d128595cc08615ce19a2607bfb692 | 2021-09-09T21:37:31.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"mg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-mg | 32 | null | transformers | 6,962 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-mg
* source languages: en
* target languages: mg
* OPUS readme: [en-mg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-es-yua | 54ef266cac976f1f13055c30821b43c72282b742 | 2021-09-09T21:45:50.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"yua",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-yua | 32 | null | transformers | 6,963 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-yua
* source languages: es
* target languages: yua
* OPUS readme: [es-yua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-yua/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-fiu-en | 41453b76f034c1b150ba23ccc34e3744cbe32901 | 2021-01-18T08:40:54.000Z | [
"pytorch",
"marian",
"text2text-generation",
"se",
"fi",
"hu",
"et",
"fiu",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fiu-en | 32 | null | transformers | 6,964 | ---
language:
- se
- fi
- hu
- et
- fiu
- en
tags:
- translation
license: apache-2.0
---
### fiu-eng
* source group: Finno-Ugrian languages
* target group: English
* OPUS readme: [fiu-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-eng/README.md)
* model: transformer
* source lan... |
Helsinki-NLP/opus-mt-mh-en | 93cc13e1c438fab83deca17efd61d62b9fd98a7d | 2021-09-10T13:57:44.000Z | [
"pytorch",
"marian",
"text2text-generation",
"mh",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-mh-en | 32 | null | transformers | 6,965 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-mh-en
* source languages: mh
* target languages: en
* OPUS readme: [mh-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mh-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
MrE/DialoGPT-medium-SARGER3 | dd5d704ac0f1155b11c9daa1edc4135f2da346b9 | 2021-11-07T00:21:06.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | MrE | null | MrE/DialoGPT-medium-SARGER3 | 32 | null | transformers | 6,966 | ---
tags:
- conversational
---
#Sarge3 |
NYTK/translation-marianmt-en-hu | 6499e728a145ed1b5140b41f64b05b65e0d8e83f | 2022-02-14T13:31:08.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"hu",
"transformers",
"translation",
"license:gpl-3.0",
"autotrain_compatible"
] | translation | false | NYTK | null | NYTK/translation-marianmt-en-hu | 32 | null | transformers | 6,967 | ---
language:
- en
- hu
tags:
- translation
license: gpl-3.0
metrics:
- sacrebleu
- chrf
widget:
- text: "This may not make much sense to you, sir, but I'd like to ask your permission to date your daughter."
example_title: "Translation: English-Hungarian"
---
# Marian Translation model
For further models, sc... |
TransQuest/monotransquest-hter-en_de-wiki | b437e8f0c40f617677bfe02fc507abc5cf80c8b7 | 2021-06-04T08:03:53.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"en-de",
"transformers",
"Quality Estimation",
"monotransquest",
"hter",
"license:apache-2.0"
] | text-classification | false | TransQuest | null | TransQuest/monotransquest-hter-en_de-wiki | 32 | null | transformers | 6,968 | ---
language: en-de
tags:
- Quality Estimation
- monotransquest
- hter
license: apache-2.0
---
# TransQuest: Translation Quality Estimation with Cross-lingual Transformers
The goal of quality estimation (QE) is to evaluate the quality of a translation without having access to a reference translation. High-accuracy QE... |
aware-ai/distilbart-xsum-12-3-squadv2 | fa489fa5c21e461ddc489753739827add11dff33 | 2020-06-26T21:05:39.000Z | [
"pytorch",
"bart",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | aware-ai | null | aware-ai/distilbart-xsum-12-3-squadv2 | 32 | null | transformers | 6,969 | Entry not found |
albertvillanova/autonlp-indic_glue-multi_class_classification-1e67664-1311135 | f0c9ee54c89b20afc01e34f37e9d0435c5495786 | 2021-05-22T04:52:53.000Z | [
"pytorch",
"albert",
"text-classification",
"bn",
"dataset:albertvillanova/autonlp-data-indic_glue-multi_class_classification-1e67664",
"transformers",
"autonlp"
] | text-classification | false | albertvillanova | null | albertvillanova/autonlp-indic_glue-multi_class_classification-1e67664-1311135 | 32 | null | transformers | 6,970 | ---
tags: autonlp
language: bn
widget:
- text: "I love AutoNLP 🤗"
datasets:
- albertvillanova/autonlp-data-indic_glue-multi_class_classification-1e67664
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 1311135
## Validation Metrics
- Loss: 0.35616958141326904
- Accuracy: 0.8... |
anirudh21/albert-base-v2-finetuned-rte | a05e21fb37d54e472c3dd650907a2306970a772a | 2022-01-25T22:23:12.000Z | [
"pytorch",
"tensorboard",
"albert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | anirudh21 | null | anirudh21/albert-base-v2-finetuned-rte | 32 | null | transformers | 6,971 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: albert-base-v2-finetuned-rte
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: rte
metrics:
- name: Accur... |
anirudh21/albert-xlarge-v2-finetuned-mrpc | 820cd34033afc1be828812b0c02a415495b6bf63 | 2022-01-26T12:50:06.000Z | [
"pytorch",
"tensorboard",
"albert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | anirudh21 | null | anirudh21/albert-xlarge-v2-finetuned-mrpc | 32 | null | transformers | 6,972 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: albert-xlarge-v2-finetuned-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: mrpc
metrics:
- na... |
benjamin/gpt2-wechsel-german | 47f2b15f445189aa24eb07971e967c646addaf23 | 2022-07-13T23:44:00.000Z | [
"pytorch",
"gpt2",
"text-generation",
"de",
"transformers",
"license:mit"
] | text-generation | false | benjamin | null | benjamin/gpt2-wechsel-german | 32 | 1 | transformers | 6,973 | ---
language: de
license: mit
---
# gpt2-wechsel-german
Model trained with WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
See the code here: https://github.com/CPJKU/wechsel
And the paper here: https://aclanthology.org/2022.naacl-main.293/
## Perf... |
benjaminbeilharz/bert-base-uncased-dailydialog-turn-classifier | 451987c2ee2cd0f0b6aa75a24d2ce37aea153976 | 2022-01-23T09:54:02.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | benjaminbeilharz | null | benjaminbeilharz/bert-base-uncased-dailydialog-turn-classifier | 32 | null | transformers | 6,974 | Entry not found |
bergum/xtremedistil-emotion | c37fe26294de11bc6b3726493c90eefd7c9b62d7 | 2022-07-14T08:31:11.000Z | [
"pytorch",
"bert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | bergum | null | bergum/xtremedistil-emotion | 32 | null | transformers | 6,975 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: xtremedistil-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
- name: ... |
flax-community/byt5-base-wikisplit | 957c00e52f7d7c8f3489cdb99cefafad76bc4af3 | 2021-07-16T12:41:20.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"dataset:wiki_split",
"arxiv:1907.12461",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | flax-community | null | flax-community/byt5-base-wikisplit | 32 | null | transformers | 6,976 | ---
datasets:
- wiki_split
widget:
- text: "Mary likes to play football in her freetime whenever she meets with her friends that are very nice people."
---
# T5 model for sentence splitting in English
Sentence Split is the task of dividing a long sentence into multiple sentences.
E.g.:
```
Mary likes to play footb... |
formermagic/bart-base-python-1m | f4c7d1832d000cf80d0ad38c9f286d7d4ee6c19d | 2021-02-06T11:13:00.000Z | [
"pytorch",
"bart",
"text2text-generation",
"py",
"transformers",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | formermagic | null | formermagic/bart-base-python-1m | 32 | null | transformers | 6,977 | ---
license: mit
language: py
thumbnail: https://avatars.githubusercontent.com/u/70610668?s=400&u=f0699303289113c125e8686338739d9a63d5826c&v=4
tags:
- bart
- pytorch
---
# bart-base-python-1m |
huggingtweets/cazum8videos | abc4499b54a5f67eab4c913024105e5f6a9a23e5 | 2021-05-21T21:59:09.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/cazum8videos | 32 | null | transformers | 6,978 | ---
language: en
thumbnail: https://www.huggingtweets.com/cazum8videos/1607736154080/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
<style>
@media (prefers-color-scheme: dark) {
.prose { c... |
huggingtweets/cheascake | 0d0a59c9621e2654cd294a6067f0cb9f33e4378f | 2021-05-21T22:22:26.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/cheascake | 32 | null | transformers | 6,979 | ---
language: en
thumbnail: https://www.huggingtweets.com/cheascake/1617656786247/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/137882766979046... |
huggingtweets/ericrweinstein | 3a3fb6f89ab4487ae4924e06475ab0b05b0cd429 | 2021-05-22T03:22:44.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/ericrweinstein | 32 | null | transformers | 6,980 | ---
language: en
thumbnail: https://www.huggingtweets.com/ericrweinstein/1617772658128/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/183983583/... |
huggingtweets/imogenloisfox | 984ebd3b38f82ccd9bb8132b7fa37fc16d3d312e | 2021-05-22T08:07:54.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/imogenloisfox | 32 | null | transformers | 6,981 | ---
language: en
thumbnail: https://www.huggingtweets.com/imogenloisfox/1608309297782/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
<style>
@media (prefers-color-scheme: dark) {
.prose { ... |
huggingtweets/karchitecture | 92e8cced5c76a2a10ee88a000d4928fd428fb7c8 | 2021-05-22T10:31:25.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/karchitecture | 32 | null | transformers | 6,982 | ---
language: en
thumbnail: https://www.huggingtweets.com/karchitecture/1613440346289/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/98422376111... |
huggingtweets/peter_shoes_ | 6460f35b3cc428c70ce315947c6a99f85efb3c07 | 2021-05-22T18:25:53.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/peter_shoes_ | 32 | null | transformers | 6,983 | ---
language: en
thumbnail: https://www.huggingtweets.com/peter_shoes_/1616614828484/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/136428625451... |
jonasmue/cover-letter-distilgpt2 | f49d450424a7723d30b0211b7f3ab95f9cbc1cc4 | 2021-05-23T05:58:55.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | jonasmue | null | jonasmue/cover-letter-distilgpt2 | 32 | null | transformers | 6,984 | Entry not found |
kingabzpro/DialoGPT-small-Rick-Bot | e4ab0df61ecc964da56509257f6561ea140aec57 | 2021-08-27T21:45:04.000Z | [
"pytorch",
"gpt2",
"text-generation",
"English",
"dataset:Andrada Olteanu Rickmorty-Scripts",
"transformers",
"conversational",
"Transformers",
"Chatbot",
"Rick&Morty",
"license:apache-2.0"
] | conversational | false | kingabzpro | null | kingabzpro/DialoGPT-small-Rick-Bot | 32 | 3 | transformers | 6,985 | ---
language: English
datasets:
- Andrada Olteanu Rickmorty-Scripts
tags:
- conversational
- Transformers
- gpt2
- Chatbot
- Rick&Morty
license: apache-2.0
metrics:
- Perplexity
---
# Source Code
[<img src="https://api.flatworld.co/wp-content/uploads/2020/10/DAGsHub-Logo.png" alt="dagshub" width="150"/>](https://dagsh... |
lhkhiem28/ViNERCoV | c56d551f096fc056c43053a40c1e0d808e1abd11 | 2022-05-18T12:16:25.000Z | [
"pytorch",
"roberta",
"token-classification",
"vi",
"transformers",
"named-entity-recognition",
"autotrain_compatible"
] | token-classification | false | lhkhiem28 | null | lhkhiem28/ViNERCoV | 32 | 1 | transformers | 6,986 | ---
language:
- vi
tags:
- named-entity-recognition
widget:
- Anh L.H.K 22 tuổi sống tại Hà Nội , đã khỏi bệnh vào ngày 28/2 .
---
Visit my [GitHub](https://github.com/lhkhiem28/COVID-19-Named-Entity-Recognition-for-Vietnamese) page for more details. |
liangtaiwan/t5-v1_1-lm100k-large | e77f4d94b25dd14dc589feb8d77fe85455c4a9db | 2021-10-21T09:36:27.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | liangtaiwan | null | liangtaiwan/t5-v1_1-lm100k-large | 32 | null | transformers | 6,987 | Entry not found |
llange/xlm-roberta-large-english-clinical | db0006763f6f53358b4738ac58ba6c59e32569f6 | 2021-12-17T10:27:20.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"arxiv:2112.08754",
"transformers",
"autotrain_compatible"
] | fill-mask | false | llange | null | llange/xlm-roberta-large-english-clinical | 32 | 0 | transformers | 6,988 | # CLIN-X-EN: a pre-trained language model for the English clinical domain
Details on the model, the pre-training corpus and the downstream task performance are given in the paper: "CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain" by Lukas Lange, Heike... |
ncoop57/bart-base-code-summarizer-java-v0 | 595a7cc4c31389506d3ed96138afeac628ccb68f | 2020-12-11T21:56:54.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"summarization",
"license:mit",
"autotrain_compatible"
] | summarization | false | ncoop57 | null | ncoop57/bart-base-code-summarizer-java-v0 | 32 | null | transformers | 6,989 | ---
tags:
- summarization
license: mit
---
## ncoop57/bart-base-code-summarizer-java-v0
|
nickmuchi/fb-bart-large-finetuned-trade-the-event-finance-summarizer | 1e00bbc441b0a508d53082bbefb1d653e75e08fb | 2022-02-08T08:52:54.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | summarization | false | nickmuchi | null | nickmuchi/fb-bart-large-finetuned-trade-the-event-finance-summarizer | 32 | null | transformers | 6,990 | ---
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: fb-bart-large-finetuned-trade-the-event-finance-summarizer
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete ... |
nikokons/conversational-agent-el | b6bca5b6407dcf2b898c67320e8f76797120ef8d | 2021-07-27T13:42:02.000Z | [
"pytorch",
"jax",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | nikokons | null | nikokons/conversational-agent-el | 32 | null | transformers | 6,991 | ## Dataset:
A variant of the Persona-Chat dataset was used, which contains 19319 short dialogues. MarianMT, a free and efficient Neural Machine Translation framework, was used to translate this dataset into Greek.
## Fine-tuning for the task of dialogue:
Using the pre-trained "gpt2-greek" (https://huggingface.co/ni... |
nishmithaur/distilbert-base-uncased-finetuned-ner | c8bf4b19f63f0e3dffaae64a75d31f9fe30f415f | 2021-07-26T14:59:51.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | nishmithaur | null | nishmithaur/distilbert-base-uncased-finetuned-ner | 32 | null | transformers | 6,992 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
model_index:
- name: distilbert-base-uncased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: conll2003
---
<!-- This mod... |
prithivida/ALT_CTRLSum | 72cbf1878d11a4165e2ed1a8b3af955395ac8c1c | 2022-06-29T07:47:43.000Z | [
"pytorch",
"tf",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | prithivida | null | prithivida/ALT_CTRLSum | 32 | 1 | transformers | 6,993 | Entry not found |
rahulMishra05/discord-chat-bot | a326720c0926059fcb977ba64dbbffd9ba03e201 | 2021-09-02T14:28:53.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | rahulMishra05 | null | rahulMishra05/discord-chat-bot | 32 | null | transformers | 6,994 | ---
tags:
- conversational
---
# Tony Stark DialoGPT Model |
razent/SciFive-base-PMC | 23bcbd7e822d73ca779acbd66b8587742b860f48 | 2022-03-20T17:44:55.000Z | [
"pytorch",
"tf",
"t5",
"text2text-generation",
"en",
"dataset:pmc/open_access",
"arxiv:2106.03598",
"transformers",
"token-classification",
"text-classification",
"question-answering",
"text-generation",
"autotrain_compatible"
] | text-classification | false | razent | null | razent/SciFive-base-PMC | 32 | null | transformers | 6,995 | ---
language:
- en
tags:
- token-classification
- text-classification
- question-answering
- text2text-generation
- text-generation
datasets:
- pmc/open_access
---
# SciFive PMC Base
## Introduction
Paper: [SciFive: a text-to-text transformer model for biomedical literature](https://arxiv.org/abs/2106.03598)
Au... |
salesken/natural_rephrase | 4b556c99c41e4c1c908a3a1caf26456cbba11452 | 2021-05-23T12:30:24.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers",
"license:apache-2.0"
] | text-generation | false | salesken | null | salesken/natural_rephrase | 32 | 1 | transformers | 6,996 | ---
license: apache-2.0
inference: false
widget:
- text: "Hey Siri, Send message to mom to say thank you for the delicious dinner yesterday"
---
NLG model trained on the rephrase generation dataset published by Fb
Paper : https://research.fb.com/wp-content/uploads/2020/12/Sound-Natural-Content-Rephrasing-in-Dialo... |
seongju/klue-tc-bert-base-multilingual-cased | 894a7d60fcc359e965590a73c992f809f3ec307e | 2021-07-14T07:07:22.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | seongju | null | seongju/klue-tc-bert-base-multilingual-cased | 32 | null | transformers | 6,997 | ### Model information
* language : Korean
* fine tuning data : [klue-tc (a.k.a. YNAT) ](https://klue-benchmark.com/tasks/66/overview/description)
* License : CC-BY-SA 4.0
* Base model : [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased)
* input : news headline
* output : top... |
shahrukhx01/bert-multitask-query-classifiers | 0dec08ea107d1c1cd89c83a81fe5de007a4eb45d | 2021-09-27T17:01:56.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | shahrukhx01 | null | shahrukhx01/bert-multitask-query-classifiers | 32 | 2 | transformers | 6,998 | # A Multi-task learning model with two prediction heads
* One prediction head classifies between keyword sentences vs statements/questions
* Other prediction head corresponds to classifier for statements vs questions
## Scores
##### Spaadia SQuaD Test acc: **0.9891**
##### Quora Keyword Pairs Test acc: **0.98048**
##... |
sivasankalpp/dpr-multidoc2dial-token-question-encoder | 8b5ec6e630bb74e47684f53b1219d644b9997f1a | 2021-11-10T20:30:11.000Z | [
"pytorch",
"dpr",
"feature-extraction",
"transformers"
] | feature-extraction | false | sivasankalpp | null | sivasankalpp/dpr-multidoc2dial-token-question-encoder | 32 | null | transformers | 6,999 | Entry not found |
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