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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
p208p2002/t5-squad-qg-hl | f80ba7163150055edf1c352103120706206cec16 | 2021-05-03T03:17:14.000Z | [
"pytorch",
"t5",
"text2text-generation",
"dataset:squad",
"arxiv:1606.05250",
"arxiv:1705.00106",
"transformers",
"question-generation",
"autotrain_compatible"
] | text2text-generation | false | p208p2002 | null | p208p2002/t5-squad-qg-hl | 13 | null | transformers | 10,200 | ---
datasets:
- squad
tags:
- question-generation
widget:
- text: "Harry Potter is a series of seven fantasy novels written by British author, [HL]J. K. Rowling[HL]."
---
# Transformer QG on SQuAD
HLQG is Proposed by [Ying-Hong Chan & Yao-Chung Fan. (2019). A Re-current BERT-based Model for Question Generation.](https... |
patrickvonplaten/wav2vec2-base-timit-demo-colab | 0f0b1a6126c76cc807964416ea401339b2d45359 | 2022-05-10T09:38:48.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/wav2vec2-base-timit-demo-colab | 13 | null | transformers | 10,201 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-colab
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. -->
# wav2... |
philschmid/pt-tblard-tf-allocine | 842f2b47eae6e461776b92b74e0d8219c5c42e84 | 2021-10-27T13:54:09.000Z | [
"pytorch",
"camembert",
"text-classification",
"fr",
"transformers"
] | text-classification | false | philschmid | null | philschmid/pt-tblard-tf-allocine | 13 | null | transformers | 10,202 | ---
language: fr
---
# Pytorch Fork of [tblard/tf-allocine](https://huggingface.co/tblard/tf-allocine)
A french sentiment analysis model, based on [CamemBERT](https://camembert-model.fr/), and finetuned on a large-scale dataset scraped from [Allociné.fr](http://www.allocine.fr/) user reviews.
## Results
| Validation A... |
pin/analytical | feef7ef1940f3178a3d02b818e98c42caa01b0cb | 2021-05-20T02:44:25.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"da",
"transformers",
"danish",
"sentiment",
"analytical",
"license:cc-by-4.0"
] | text-classification | false | pin | null | pin/analytical | 13 | null | transformers | 10,203 | ---
language: da
tags:
- danish
- bert
- sentiment
- analytical
license: cc-by-4.0
widget:
- text: "Jeg synes, det er en elendig film"
---
# Danish BERT fine-tuned for Detecting 'Analytical'
This model detects if a Danish text is 'subjective' or 'objective'.
It is trained and tested on Tweets and texts transcribed fr... |
qarib/bert-base-qarib60_1790k | 86a50f1903c0015d5ee6bd532eec2691e1acad50 | 2021-05-20T03:44:18.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"ar",
"dataset:arabic_billion_words",
"dataset:open_subtitles",
"dataset:twitter",
"arxiv:2102.10684",
"transformers",
"tf",
"qarib",
"qarib60_1790k",
"autotrain_compatible"
] | fill-mask | false | qarib | null | qarib/bert-base-qarib60_1790k | 13 | null | transformers | 10,204 | ---
language: ar
tags:
- pytorch
- tf
- qarib
- qarib60_1790k
datasets:
- arabic_billion_words
- open_subtitles
- twitter
metrics:
- f1
widget:
- text: " شو عندكم يا [MASK] ."
---
# QARiB: QCRI Arabic and Dialectal BERT
## About QARiB
QCRI Arabic and Dialectal BERT (QARiB) model, was trained on a collection of ~ 42... |
rjbownes/BBC-GQA-eval | f960b72c956ab3691eb1e0869d5afe952f8b8cc7 | 2021-05-20T04:27:08.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | rjbownes | null | rjbownes/BBC-GQA-eval | 13 | null | transformers | 10,205 | Entry not found |
sampathkethineedi/bert-topic-sentiment | ff06fd75052885546ac3e7108f70fe5ab137ccb1 | 2021-05-20T04:37:38.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | sampathkethineedi | null | sampathkethineedi/bert-topic-sentiment | 13 | null | transformers | 10,206 | Entry not found |
sdadas/polish-roberta-large-v1 | 6b3df848cafe287b70ecea2bf8c9a943f163b4d0 | 2022-02-19T10:15:55.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"license:lgpl-3.0",
"autotrain_compatible"
] | fill-mask | false | sdadas | null | sdadas/polish-roberta-large-v1 | 13 | null | transformers | 10,207 | ---
license: lgpl-3.0
---
|
seyonec/PubChem10M_SMILES_BPE_50k | f82fb45c4be039713d182cbd7f444d5bf1a67538 | 2021-05-20T21:03:24.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | seyonec | null | seyonec/PubChem10M_SMILES_BPE_50k | 13 | null | transformers | 10,208 | Entry not found |
simonlevine/biomed_roberta_base-2048 | 683823a18ea4e15466042805a376611fc566641a | 2021-05-20T21:26:15.000Z | [
"pytorch",
"jax",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | simonlevine | null | simonlevine/biomed_roberta_base-2048 | 13 | null | transformers | 10,209 | Entry not found |
simran-kh/muril-cased-temp | e8f17e3f3ea5959282cc5465792c4d858099537c | 2021-05-20T06:00:03.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | simran-kh | null | simran-kh/muril-cased-temp | 13 | null | transformers | 10,210 | Entry not found |
sismetanin/rubert_conversational-ru-sentiment-sentirueval2016 | 0740276ef6d3ec2f74a818c775665c4a4d22063d | 2021-05-20T06:25:38.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | sismetanin | null | sismetanin/rubert_conversational-ru-sentiment-sentirueval2016 | 13 | null | transformers | 10,211 | Entry not found |
speechbrain/SLU-direct-SLURP-hubert-enc | d4cf1dafbfdc92782e54e264be575391a02874a3 | 2022-06-25T02:31:26.000Z | [
"en",
"dataset:SLURP",
"arxiv:2011.13205",
"arxiv:2106.04624",
"speechbrain",
"Spoken language understanding",
"wav2vec2",
"hubert",
"pytorch",
"license:apache-2.0"
] | null | false | speechbrain | null | speechbrain/SLU-direct-SLURP-hubert-enc | 13 | 1 | speechbrain | 10,212 | ---
language: "en"
thumbnail:
tags:
- Spoken language understanding
- speechbrain
- wav2vec2
- hubert
- pytorch
license: "apache-2.0"
datasets:
- SLURP
metrics:
- Accuracy
---
<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrollin... |
suwani/BERT_NER_Ep5_PAD_75-finetuned-ner | aebb3d79c9f69a601a27f87d2be6c69633b8f857 | 2021-10-11T04:05:50.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | suwani | null | suwani/BERT_NER_Ep5_PAD_75-finetuned-ner | 13 | null | transformers | 10,213 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: BERT_NER_Ep5_PAD_75-finetuned-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and c... |
tal-yifat/bert-injury-classifier | 52c0cf0dc1dc7ae0656d3180944b96a32e398d30 | 2022-02-02T04:35:44.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | tal-yifat | null | tal-yifat/bert-injury-classifier | 13 | null | transformers | 10,214 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-injury-classifier
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-injury-... |
tau/tavbert-he | 41265b09a862144b2517afdfd46da4388f1380df | 2022-02-08T16:38:50.000Z | [
"pytorch",
"roberta",
"fill-mask",
"he",
"dataset:oscar",
"transformers",
"language model",
"autotrain_compatible"
] | fill-mask | false | tau | null | tau/tavbert-he | 13 | null | transformers | 10,215 | ---
language: he
tags:
- roberta
- language model
datasets:
- oscar
---
# TavBERT base model
A Hebrew BERT-style masked language model operating over characters, pre-trained by masking spans of characters, similarly to SpanBERT (Joshi et al., 2020).
### How to use
```python
import numpy as np
import torch
from transf... |
thatdramebaazguy/roberta-base-MITmovie | a1d2f3a7c494837df7f3cd8ad34cb4a0d06a514a | 2022-07-01T18:25:30.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"token-classification",
"English",
"dataset:MIT Movie",
"transformers",
"roberta-base",
"NER",
"named-entities",
"BIO",
"movies",
"license:cc-by-4.0",
"autotrain_compatible"
] | token-classification | false | thatdramebaazguy | null | thatdramebaazguy/roberta-base-MITmovie | 13 | 1 | transformers | 10,216 | ---
datasets:
- MIT Movie
language:
- English
thumbnail:
tags:
- roberta
- roberta-base
- token-classification
- NER
- named-entities
- BIO
- movies
license: cc-by-4.0
---
# roberta-base + Movies NER Task
Objective:
This is Roberta Base trained for the NER task using MIT Movie Dataset
```
model_name = "tha... |
toast22a/squad_natural_question_oqpl | c514aaea577559dd9141e4369fe93753b63a0fb9 | 2021-05-23T13:12:28.000Z | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | toast22a | null | toast22a/squad_natural_question_oqpl | 13 | null | transformers | 10,217 | Entry not found |
tugstugi/wav2vec2-large-xlsr-53-kalmyk | 9bbe0c8f4080203b06ab2a103d4de745d90749f0 | 2021-07-25T19:55:31.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"xal",
"transformers",
"speech",
"audio",
"license:apache-2.0"
] | automatic-speech-recognition | false | tugstugi | null | tugstugi/wav2vec2-large-xlsr-53-kalmyk | 13 | null | transformers | 10,218 | ---
language: xal
tags:
- speech
- audio
- automatic-speech-recognition
license: apache-2.0
---
## Info
This Wav2Vec2 model was first pretrained on 500 hours Kalmyk TV recordings and 1000 hours Mongolian speech recognition dataset. After that, the model was finetuned on a 300 hours [Kalmyk synthetic STT dataset](http... |
uclanlp/plbart-single_task-strong-summarization | 762bf75b8f4e529126e7b730744f90eb2babadbc | 2022-03-02T07:22:06.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-single_task-strong-summarization | 13 | null | transformers | 10,219 | Entry not found |
vasudevgupta/bigbird-roberta-large | 193bb471c476783098d2db27e19ebaba251a0026 | 2021-04-30T07:36:35.000Z | [
"pytorch",
"big_bird",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | vasudevgupta | null | vasudevgupta/bigbird-roberta-large | 13 | null | transformers | 10,220 | Moved here: https://huggingface.co/google/bigbird-roberta-large |
vaughnw128/DialoGPT-small-sexybabeycord | f05ea86ff907e5204f745f4a3a282a94e4fa9392 | 2022-01-25T20:09:41.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | vaughnw128 | null | vaughnw128/DialoGPT-small-sexybabeycord | 13 | null | transformers | 10,221 | ---
tags:
- conversational
---
- We love asher |
victoraavila/bert-base-uncased-finetuned-squad | c34524b1b63a1729239277d164c5d7603dea9665 | 2021-08-25T12:44:54.000Z | [
"pytorch",
"bert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | victoraavila | null | victoraavila/bert-base-uncased-finetuned-squad | 13 | null | transformers | 10,222 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model_index:
- name: bert-base-uncased-finetuned-squad
results:
- task:
name: Question Answering
type: question-answering
dataset:
name: squad
type: squad
args: plain_text
---
<!-- This model card has been ge... |
vidhur2k/mBERT-Portuguese-Mono | 12d3f7573cc5bba7d44956dae0dc3f590d666bd1 | 2021-12-03T19:07:33.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | vidhur2k | null | vidhur2k/mBERT-Portuguese-Mono | 13 | null | transformers | 10,223 | Entry not found |
vidhur2k/mBERT-Spanish-Mono | 24f39d33bae02cd7206a86682a1b3b4bbad52259 | 2021-12-03T16:46:59.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | vidhur2k | null | vidhur2k/mBERT-Spanish-Mono | 13 | null | transformers | 10,224 | Entry not found |
voidful/question-answering-zh | 2f71315a0f46d19234c57cd4005a90173c812778 | 2021-05-20T09:01:40.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | voidful | null | voidful/question-answering-zh | 13 | null | transformers | 10,225 | Entry not found |
wanderer/DialoGPT-small-Phoebe | 0ec69f2f64b412251eb0f3e72dfdecd1d1e44873 | 2021-09-03T16:31:57.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | wanderer | null | wanderer/DialoGPT-small-Phoebe | 13 | null | transformers | 10,226 | ---
tags:
- conversational
---
#Phoebe From Friends |
yazdipour/text-to-sparql-t5-small-qald9 | 1809c76ed2d04937930b0a62bef16bbe7266cd4c | 2021-10-19T22:40:20.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | yazdipour | null | yazdipour/text-to-sparql-t5-small-qald9 | 13 | null | transformers | 10,227 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: sparql-qald9-t5-small-2021-10-19_22-32
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. -->... |
yliu337/noun_chunker | 9ee8da932d7c7c793948d07c335ce72d11437790 | 2021-08-07T20:09:54.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | yliu337 | null | yliu337/noun_chunker | 13 | null | transformers | 10,228 | Entry not found |
yoshitomo-matsubara/bert-large-uncased-rte | d7248efd14945046e8029b6be537a8e8850da25b | 2021-05-29T21:33:55.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:rte",
"transformers",
"rte",
"glue",
"torchdistill",
"license:apache-2.0"
] | text-classification | false | yoshitomo-matsubara | null | yoshitomo-matsubara/bert-large-uncased-rte | 13 | null | transformers | 10,229 | ---
language: en
tags:
- bert
- rte
- glue
- torchdistill
license: apache-2.0
datasets:
- rte
metrics:
- accuracy
---
`bert-large-uncased` fine-tuned on RTE dataset, using [***torchdistill***](https://github.com/yoshitomo-matsubara/torchdistill) and [Google Colab](https://colab.research.google.com/github/yoshitomo-mat... |
wietsedv/xlm-roberta-base-ft-udpos28-ru | 921150d68af02336a5d634d415ba917e72a33559 | 2022-02-25T09:59:17.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"ru",
"dataset:universal_dependencies",
"transformers",
"part-of-speech",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | wietsedv | null | wietsedv/xlm-roberta-base-ft-udpos28-ru | 13 | null | transformers | 10,230 |
---
language:
- ru
license: apache-2.0
library_name: transformers
tags:
- part-of-speech
- token-classification
datasets:
- universal_dependencies
metrics:
- accuracy
model-index:
- name: xlm-roberta-base-ft-udpos28-ru
results:
- task:
type: token-classification
name: Part-of-Speech Tagging
datas... |
ASCCCCCCCC/distilbert-base-chinese-amazon_zh_20000 | 85a8784ff4156fc7d36a8717b7a58d58e42620f2 | 2022-02-25T06:26:43.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | ASCCCCCCCC | null | ASCCCCCCCC/distilbert-base-chinese-amazon_zh_20000 | 13 | null | transformers | 10,231 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-chinese-amazon_zh_20000
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. --... |
leonadase/bert-base-chinese-finetuned-ner | 1e77dc03c3dd3ce9dced406ce3801d6c1669348f | 2022-02-26T15:09:40.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:fdner",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | leonadase | null | leonadase/bert-base-chinese-finetuned-ner | 13 | null | transformers | 10,232 | ---
tags:
- generated_from_trainer
datasets:
- fdner
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-chinese-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: fdner
type: fdner
args: fdner
metrics:
... |
anjandash/finetuned-bert-java-cmpx | f8fcfa3b306aeafa25428de271a1208beacd0231 | 2022-03-03T17:17:23.000Z | [
"pytorch",
"tf",
"distilbert",
"text-classification",
"transformers",
"license:mit"
] | text-classification | false | anjandash | null | anjandash/finetuned-bert-java-cmpx | 13 | null | transformers | 10,233 | ---
license: mit
---
|
atlantis/distilbert-base-uncased-finetuned-emotion | c7428c1ab7181c558e35b9b0aaa415095ff6d25c | 2022-03-04T09:39:30.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | atlantis | null | atlantis/distilbert-base-uncased-finetuned-emotion | 13 | null | transformers | 10,234 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... |
Hieu/scam-detection | 699ca4366f9517b9d5097039cf0003246ca3e221 | 2022-03-04T19:51:32.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | Hieu | null | Hieu/scam-detection | 13 | null | transformers | 10,235 | Entry not found |
gayanin/bart-mlm-paraphrasing | 452d09c3a99b8d616787479dbf88f18da422b3cf | 2022-03-07T12:37:38.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | gayanin | null | gayanin/bart-mlm-paraphrasing | 13 | null | transformers | 10,236 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-mlm-paraphrasing
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-mlm-para... |
artemis13fowl/bert-base-uncased-imdb | f0ab3c4597f1111ebed4c78ca0a4c82fe5681cc9 | 2022-03-10T19:04:04.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | artemis13fowl | null | artemis13fowl/bert-base-uncased-imdb | 13 | 1 | transformers | 10,237 | ## bert-base-uncased finetuned on IMDB dataset
Evaluation set was created by taking 1000 samples from test set
```
DatasetDict({
train: Dataset({
features: ['text', 'label'],
num_rows: 25000
})
dev: Dataset({
features: ['text', 'label'],
num_rows: 1000
})
test: Data... |
dietconk/DialogGPT-small-Orange | 898324da23bf5486300a898414edf89164847c59 | 2022-03-10T21:28:08.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | dietconk | null | dietconk/DialogGPT-small-Orange | 13 | null | transformers | 10,238 | ---
tags:
- conversational
---
# My Awesome Model
|
ixa-ehu/roberta-eus-mc4-base-cased | 6c04ab91eb1b8a457fbda51c9de22a395193cd2d | 2022-03-16T11:49:27.000Z | [
"pytorch",
"roberta",
"fill-mask",
"eu",
"arxiv:2203.08111",
"transformers",
"basque",
"license:cc-by-nc-4.0",
"autotrain_compatible"
] | fill-mask | false | ixa-ehu | null | ixa-ehu/roberta-eus-mc4-base-cased | 13 | null | transformers | 10,239 | ---
language: eu
license: cc-by-nc-4.0
tags:
- basque
- roberta
---
# Roberta-eus mc4 base cased
This is a RoBERTa model for Basque model presented in [Does corpus quality really matter for low-resource languages?](https://arxiv.org/abs/2203.08111). There are several models for Basque using the RoBERTa architecture, ... |
radev/distilbert-base-uncased-finetuned-emotion | adc4cd3b301820abfd7903f5edca2c0dcda5aa80 | 2022-06-01T02:20:13.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | radev | null | radev/distilbert-base-uncased-finetuned-emotion | 13 | null | transformers | 10,240 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... |
IIC/beto-base-spanish-squades | ecbf2b3d1f158e1a061b521feb5f36d93a4bb864 | 2022-04-02T15:10:29.000Z | [
"pytorch",
"es",
"dataset:squad\\_es",
"arxiv:2107.07253",
"question-answering",
"model-index"
] | question-answering | false | IIC | null | IIC/beto-base-spanish-squades | 13 | 1 | null | 10,241 | ---
language:
- es
tags:
- question-answering # Example: audio
datasets:
- squad\_es
metrics:
- f1
# Optional. Add this if you want to encode your eval results in a structured way.
model-index:
- name: beto-base-spanish_squades
results:
- task:
type: question-answering # Required. Example: automatic-speech-... |
DeltaHub/FactQA_T5-large_Adapter | 1831c8406a134660479743de82a5df0df9e712f6 | 2022-03-20T01:14:40.000Z | [
"pytorch",
"transformers"
] | null | false | DeltaHub | null | DeltaHub/FactQA_T5-large_Adapter | 13 | null | transformers | 10,242 | Entry not found |
vanilladucky/Friends_chatting_bot | ab31eb9c596c349ca79078bb584bda35fe55dcc5 | 2022-03-20T06:42:53.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | vanilladucky | null | vanilladucky/Friends_chatting_bot | 13 | null | transformers | 10,243 | ---
tags:
- conversational
---
# My Awesome Model
|
mrp/SimCSE-model-WangchanBERTa-V2 | 398b5f9a95f9196f8ff835f0f6add44bb4a06ad8 | 2022-03-21T08:34:51.000Z | [
"pytorch",
"camembert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | mrp | null | mrp/SimCSE-model-WangchanBERTa-V2 | 13 | null | sentence-transformers | 10,244 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluster... |
kazandaev/mt5-base-en-ru-v2 | 5cf6ea3bdc9770322763db47ddb10bb9d7c6553d | 2022-03-28T15:22:53.000Z | [
"pytorch",
"tf",
"jax",
"mt5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | kazandaev | null | kazandaev/mt5-base-en-ru-v2 | 13 | null | transformers | 10,245 | ---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-base-en-ru-v2
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. -->
# mt5-base-en-ru-v2
Th... |
jkhan447/sentiment-model-sample-5-emotion | 9c926b4c8bf0b8638a1aeef8b03c3292c99e4c4f | 2022-03-25T08:12:13.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jkhan447 | null | jkhan447/sentiment-model-sample-5-emotion | 13 | null | transformers | 10,246 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: sentiment-model-sample-5-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
... |
gui-marra/finetuning-sentiment-model-3000-samples | f60950257c3494d4b8b2e2d40a843bf256f6a5de | 2022-03-30T08:18:47.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | gui-marra | null | gui-marra/finetuning-sentiment-model-3000-samples | 13 | null | transformers | 10,247 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... |
agdsga/chinese-bert-wwm-finetuned-product | 920fb59eb311904fb7b4e247b6a47ba1d97e8397 | 2022-04-07T12:01:37.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | agdsga | null | agdsga/chinese-bert-wwm-finetuned-product | 13 | null | transformers | 10,248 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: chinese-bert-wwm-finetuned-product
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. -->
# ... |
Daniel-Saeedi/YouAreFakeNews | e694bab0b3a978a78b9871c533bb804b9ca921f8 | 2022-03-31T15:42:11.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"license:mit"
] | text-classification | false | Daniel-Saeedi | null | Daniel-Saeedi/YouAreFakeNews | 13 | null | transformers | 10,249 | ---
license: mit
---
|
cj-mills/distilbert-base-uncased-finetuned-emotion | be3a9d0774204a021f2d289383e13570d7540217 | 2022-07-13T17:09:45.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | cj-mills | null | cj-mills/distilbert-base-uncased-finetuned-emotion | 13 | null | transformers | 10,250 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... |
marksverdhei/t5-base-define | 83a5e77f1041bb6b08e112e8157136bcbeef4133 | 2022-04-07T11:56:19.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:marksverdhei/wordnet-definitions-en-2021",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | marksverdhei | null | marksverdhei/t5-base-define | 13 | 3 | transformers | 10,251 | ---
language: en
widget:
- text: 'define "toecoin": toecoin rose by 200% after Elon Musk mentioned it in his tweet'
datasets:
- 'marksverdhei/wordnet-definitions-en-2021'
---
# T5-define
(This model is still a work in progress. If you use it for fine tuning, make sure to save a local copy)
This model is trained t... |
Yaxin/ernie_1.0_skep_large_ch | 6250c64f004221fec365042dca01aeb45e57df19 | 2022-04-04T14:24:04.000Z | [
"pytorch",
"bert",
"zh",
"transformers"
] | null | false | Yaxin | null | Yaxin/ernie_1.0_skep_large_ch | 13 | null | transformers | 10,252 | ---
language: zh
---
# SKEP-
## Introduction
SKEP (SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis) is proposed by Baidu in 2020,
SKEP propose Sentiment Knowledge Enhanced Pre-training for sentiment analysis. Sentiment masking and three sentiment pre-training objectives are designed to incorp... |
ahmeddbahaa/AraBART-finetuned-ar | 17f572d7869c6e106cfe848b0ff00c4a048d3e9f | 2022-06-14T20:41:43.000Z | [
"pytorch",
"tensorboard",
"mbart",
"text2text-generation",
"dataset:xlsum",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | ahmeddbahaa | null | ahmeddbahaa/AraBART-finetuned-ar | 13 | null | transformers | 10,253 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: AraBART-finetune-ar-xlsum
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then rem... |
T-202/bert-finetuned-ner | 07abdb351527368734b8eba416a8b75d05857dcc | 2022-04-04T18:42:56.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | T-202 | null | T-202/bert-finetuned-ner | 13 | null | transformers | 10,254 | Entry not found |
SoLID/t5_tod_large | df44d07382ac6e76e0a405f1814f521ee45e2e4d | 2022-04-05T20:44:55.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:afl-3.0",
"autotrain_compatible"
] | text2text-generation | false | SoLID | null | SoLID/t5_tod_large | 13 | null | transformers | 10,255 | ---
license: afl-3.0
---
|
anton-l/xtreme_s_xlsr_300m_fleurs_langid | 751f07272bcd02f0d5ae7f28e93dc4c6c17280e7 | 2022-04-26T10:40:32.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"audio-classification",
"all",
"dataset:google/xtreme_s",
"transformers",
"fleurs-lang_id",
"google/xtreme_s",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | audio-classification | false | anton-l | null | anton-l/xtreme_s_xlsr_300m_fleurs_langid | 13 | null | transformers | 10,256 | ---
language:
- all
license: apache-2.0
tags:
- fleurs-lang_id
- google/xtreme_s
- generated_from_trainer
datasets:
- google/xtreme_s
metrics:
- accuracy
model-index:
- name: xtreme_s_xlsr_300m_fleurs_langid
results: []
---
<!-- This model card has been generated automatically according to the information the Traine... |
frankxu/codelm-playground | 8b5af8fb8edc10b46c62e45efe66962b73d5f2ef | 2022-04-08T05:41:03.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | frankxu | null | frankxu/codelm-playground | 13 | null | transformers | 10,257 | Entry not found |
nielsr/segformer-test-v6 | 0975635c839255c729ee6afbdbbdb8f38ccd0ead | 2022-04-09T08:21:01.000Z | [
"pytorch",
"segformer",
"dataset:segments/sidewalk-semantic",
"transformers",
"vision",
"image-segmentation",
"license:apache-2.0"
] | image-segmentation | false | nielsr | null | nielsr/segformer-test-v6 | 13 | null | transformers | 10,258 | ---
license: apache-2.0
tags:
- vision
- image-segmentation
datasets:
- segments/sidewalk-semantic
widget:
- src: https://segmentsai-prod.s3.eu-west-2.amazonaws.com/assets/admin-tobias/439f6843-80c5-47ce-9b17-0b2a1d54dbeb.jpg
example_title: Brugge
--- |
optimum/roberta-large-finetuned-clinc | 45b84579e9dce2bd9df3cb8b722b856e472c1219 | 2022-04-11T10:14:30.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"dataset:clinc_oos",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | optimum | null | optimum/roberta-large-finetuned-clinc | 13 | null | transformers | 10,259 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: roberta-large-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
metrics:
- n... |
nielsr/van-base-finetuned-eurosat-imgaug | 5caaec52bd3946e9f9f4f16c95e5c7094dfb4099 | 2022-04-13T12:31:42.000Z | [
"pytorch",
"tensorboard",
"van",
"image-classification",
"dataset:image_folder",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | nielsr | null | nielsr/van-base-finetuned-eurosat-imgaug | 13 | null | transformers | 10,260 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
model-index:
- name: van-base-finetuned-eurosat-imgaug
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folder
args: def... |
Brendan/meta-baseline-t5-small | 35243e00eaa87501d69f6bdba136b71e095499c7 | 2022-05-04T17:03:36.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Brendan | null | Brendan/meta-baseline-t5-small | 13 | null | transformers | 10,261 | Entry not found |
Jatin-WIAI/punjabi_relevance_clf | 2c9f5a7f727437d5fc4731ee3f0b9864b0aa0028 | 2022-04-13T06:55:54.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | false | Jatin-WIAI | null | Jatin-WIAI/punjabi_relevance_clf | 13 | null | transformers | 10,262 | Entry not found |
Jatin-WIAI/bengali_relevance_clf | 830c0b03041ea43ff8b40883c78b8e0ffdff3166 | 2022-04-14T08:14:30.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | false | Jatin-WIAI | null | Jatin-WIAI/bengali_relevance_clf | 13 | null | transformers | 10,263 | Entry not found |
batubayk/combined_tr_berturk32k_cased_summary | 53de175849c7e45ac14c829903dbe4d9f4034495 | 2022-04-18T16:40:48.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | batubayk | null | batubayk/combined_tr_berturk32k_cased_summary | 13 | null | transformers | 10,264 | Entry not found |
uw-madison/nystromformer-4096 | 0f14cedd2330ba6f2e17cd440b34ce40602028dd | 2022-04-18T17:07:21.000Z | [
"pytorch",
"nystromformer",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | uw-madison | null | uw-madison/nystromformer-4096 | 13 | null | transformers | 10,265 | Nystromformer for sequence length 4096 trained on WikiText-103 v1. |
migueladarlo/distilbert-depression-base | a231aeef8fe5863d0534b35602909e72b70d739e | 2022-04-19T10:32:03.000Z | [
"pytorch",
"distilbert",
"text-classification",
"en",
"dataset:CLPsych 2015",
"transformers",
"text",
"Twitter",
"license:mit",
"model-index"
] | text-classification | false | migueladarlo | null | migueladarlo/distilbert-depression-base | 13 | null | transformers | 10,266 | ---
language:
- en
license: mit # Example: apache-2.0 or any license from https://huggingface.co/docs/hub/model-repos#list-of-license-identifiers
tags:
- text # Example: audio
- Twitter
datasets:
- CLPsych 2015 # Example: common_voice. Use dataset id from https://hf.co/datasets
metrics:
- accuracy, f1, precision, re... |
waboucay/camembert-base-finetuned-xnli_fr-finetuned-nli-repnum_wl-rua_wl | 7d6330652be7509196d74baaa198225f79d97ed3 | 2022-04-21T15:18:11.000Z | [
"pytorch",
"camembert",
"text-classification",
"fr",
"transformers",
"nli"
] | text-classification | false | waboucay | null | waboucay/camembert-base-finetuned-xnli_fr-finetuned-nli-repnum_wl-rua_wl | 13 | null | transformers | 10,267 | ---
language:
- fr
tags:
- nli
metrics:
- f1
---
## Eval results
We obtain the following results on ```validation``` and ```test``` sets:
| Set | F1<sub>micro</sub> | F1<sub>macro</sub> |
|------------|--------------------|--------------------|
| validation | 72.3 | 71.9 |
| test ... |
mnazari/wav2vec2-assyrian | ca3239c40e5c38cb212168945dd72fd11c4f34bd | 2022-04-22T04:49:13.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"aii",
"dataset:mnazari/urmi-assyrian-voice",
"transformers",
"audio",
"speech",
"license:cc0-1.0",
"model-index"
] | automatic-speech-recognition | false | mnazari | null | mnazari/wav2vec2-assyrian | 13 | 1 | transformers | 10,268 | ---
language: aii
license: cc0-1.0
tags:
- audio
- automatic-speech-recognition
- speech
datasets:
- mnazari/urmi-assyrian-voice
metrics:
- cer
model-index:
- name: Wav2Vec2-Assyrian by Matthew Nazari
results:
- task:
type: automatic-speech-recognition
name: Speech Recognition
dataset:
type:... |
rmihaylov/roberta2roberta-shared-nmt-bg | ebe312232a49e205f5180407d7b855679a0cea4f | 2022-04-19T15:37:05.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"bg",
"dataset:oscar",
"dataset:chitanka",
"dataset:wikipedia",
"arxiv:1907.12461",
"transformers",
"torch",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | rmihaylov | null | rmihaylov/roberta2roberta-shared-nmt-bg | 13 | null | transformers | 10,269 | ---
inference: false
language:
- bg
license: mit
datasets:
- oscar
- chitanka
- wikipedia
tags:
- torch
---
# ROBERTA-TO-ROBERTA EncoderDecoder with Shared Weights
This model was introduced in [this paper](https://arxiv.org/pdf/1907.12461.pdf).
## Model description
The training data is private English-Bulgarian pa... |
hyesunyun/update-summarization-led-edit-at-a-time | b1ee6b30b1c3cbe389cc1095fc3c152e3938df92 | 2022-04-21T16:05:24.000Z | [
"pytorch",
"tensorboard",
"led",
"text2text-generation",
"en",
"transformers",
"update summarization",
"longformer",
"BART",
"PyTorch",
"Tensorboard",
"autotrain_compatible"
] | text2text-generation | false | hyesunyun | null | hyesunyun/update-summarization-led-edit-at-a-time | 13 | null | transformers | 10,270 | ---
language:
- en
tags:
- update summarization
- longformer
- transformers
- BART
- PyTorch
- Tensorboard
- led
metrics:
- edit distance
- ROUGE
- BertScore
---
# Update Summarization with BART Large and Longformer Encoder Decoder
## Model description
This model is a Transformer-based model that supports long docu... |
steysie/bert-base-multilingual-cased-tuned-smartcat | 69ece2f1b1c292873450f3e04562d42293478855 | 2022-04-25T15:50:21.000Z | [
"pytorch",
"bert",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | steysie | null | steysie/bert-base-multilingual-cased-tuned-smartcat | 13 | null | transformers | 10,271 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-multilingual-cased-tuned-smartcat
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... |
Ghost1/bert-finetuned-ner3 | e6d57f41b41175fe51ef79c93e1c0ef2f0a57e1f | 2022-04-25T12:20:43.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Ghost1 | null | Ghost1/bert-finetuned-ner3 | 13 | null | transformers | 10,272 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner3
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: ... |
BSlinky/finetuning-sentiment-model-3000-samples | a1722dce5100a4d27e6e661138e38d5d5edc8427 | 2022-04-26T16:01:00.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | BSlinky | null | BSlinky/finetuning-sentiment-model-3000-samples | 13 | null | transformers | 10,273 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: finetuning-sentiment-model-3000-samples
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... |
ml6team/cross-encoder-mmarco-german-distilbert-base | 26e737ae73f89d5e75a293d6287ce6124412f9d6 | 2022-04-27T08:24:46.000Z | [
"pytorch",
"distilbert",
"text-classification",
"de",
"transformers",
"cross-encoder",
"license:apache-2.0"
] | text-classification | false | ml6team | null | ml6team/cross-encoder-mmarco-german-distilbert-base | 13 | null | transformers | 10,274 | ---
language:
- de
tags:
- cross-encoder
widget:
- text: "Was sind Lamas. Das Lama (Lama glama) ist eine Art der Kamele. Es ist in den südamerikanischen Anden verbreitet und eine vom Guanako abstammende Haustierform."
example_title: "Example Query / Paragraph"
license: apache-2.0
metrics:
- Rouge-Score
---
# cross-e... |
yihsuan/best_model_0427_small_long | 8321db3e1d71d86352a839765564b142c651ea19 | 2022-04-28T01:51:38.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"zh",
"transformers",
"summarization",
"mT5",
"autotrain_compatible"
] | summarization | false | yihsuan | null | yihsuan/best_model_0427_small_long | 13 | null | transformers | 10,275 | ---
tags:
- summarization
- mT5
language:
- zh
widget:
- text: "專家稱維康桑格研究所(Wellcome Sanger Institute)的上述研究發現「令人震驚」而且「發人深省」。基因變異指關於我們身體成長和管理的相關指令，也就是DNA當中發生的變化。長期以來，變異一直被當作癌症的根源，但是數十年來關於變異是否對衰老有重要影響一直存在爭論。桑格研究所的研究人員說他們得到了「第一個試驗性證據」，證明了兩者的關係。他們分析了預期壽命各異的物種基因變異的不同速度。研究人員分析了貓、黑白疣猴、狗、雪貂、長頸鹿、馬、人、獅子、裸鼴鼠、兔子、老鼠、環尾狐猴和老虎等十幾種動物的DN... |
faisalahmad/autotrain-nsut-nlp-project-textsummarization-791824374 | 8e3b86c0b31e5d846e63fdccb27e4cd323576569 | 2022-04-27T17:50:47.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:faisalahmad/autotrain-data-nsut-nlp-project-textsummarization",
"transformers",
"autotrain",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | false | faisalahmad | null | faisalahmad/autotrain-nsut-nlp-project-textsummarization-791824374 | 13 | null | transformers | 10,276 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- faisalahmad/autotrain-data-nsut-nlp-project-textsummarization
co2_eq_emissions: 1119.6398037843474
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 791824374
- CO2 Emissions (in grams): 1119.6398037843474
... |
bdickson/albert-base-v2-finetuned-squad | b1823bab575bffcd359e8a3995bcafeb6888b5ac | 2022-04-28T07:31:59.000Z | [
"pytorch",
"tensorboard",
"albert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | bdickson | null | bdickson/albert-base-v2-finetuned-squad | 13 | null | transformers | 10,277 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: albert-base-v2-finetuned-squad
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 co... |
qixun/bart-chinese-poem | cda2a00fcb83620a37ca6e4d516f4b1a366152d1 | 2022-04-28T12:30:03.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | qixun | null | qixun/bart-chinese-poem | 13 | null | transformers | 10,278 | ---
license: mit
---
|
it5/it5-efficient-small-el32-headline-generation | c067f77e55546b26aac07d642e1ea303d0fa138d | 2022-04-29T12:39:10.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"it",
"dataset:gsarti/change_it",
"arxiv:2203.03759",
"arxiv:2109.10686",
"transformers",
"italian",
"sequence-to-sequence",
"newspaper",
"ilgiornale",
"repubblica",
"efficient",
"headline-generation",
"license:... | text2text-generation | false | it5 | null | it5/it5-efficient-small-el32-headline-generation | 13 | null | transformers | 10,279 | ---
language:
- it
license: apache-2.0
datasets:
- gsarti/change_it
tags:
- italian
- sequence-to-sequence
- newspaper
- ilgiornale
- repubblica
- efficient
- headline-generation
widget:
- text: "WASHINGTON - La Corea del Nord torna dopo nove anni nella blacklist Usa degli Stati considerati sponsor del terrorismo. Come... |
dhlanm/distilbert-base-uncased-finetune | 8be756dd7d07a9c29c16ebf0ab5fc9dcd15429c9 | 2022-04-29T23:47:22.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | dhlanm | null | dhlanm/distilbert-base-uncased-finetune | 13 | null | transformers | 10,280 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetune
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and co... |
Percival/finetuning-sentiment-model-3000-samples | 4ce2726b4fe47cc06a7f73e87848d1a31c755a21 | 2022-04-29T22:52:18.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Percival | null | Percival/finetuning-sentiment-model-3000-samples | 13 | null | transformers | 10,281 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: finetuning-sentiment-model-3000-samples
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... |
bomera/distilbert-base-uncased-finetuned-emotion | 1b03f875d1fde8bfd14334dfed8bf76207b22e8c | 2022-04-30T14:17:35.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | bomera | null | bomera/distilbert-base-uncased-finetuned-emotion | 13 | null | transformers | 10,282 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... |
charlieoneill/distilbert-base-uncased-finetuned-emotion | 9d95bb9ef58f96e3a8ab589c035fd93b2d08372e | 2022-05-01T02:25:00.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | charlieoneill | null | charlieoneill/distilbert-base-uncased-finetuned-emotion | 13 | null | transformers | 10,283 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... |
HiTZ/A2T_RoBERTa_SMFA_WikiEvents-arg | 9f9ca2d5775ecd62fdeaa01894951fc16b0a7191 | 2022-05-08T23:10:03.000Z | [
"pytorch",
"roberta",
"text-classification",
"dataset:snli",
"dataset:anli",
"dataset:multi_nli",
"dataset:multi_nli_mismatch",
"dataset:fever",
"arxiv:2104.14690",
"arxiv:2203.13602",
"transformers",
"zero-shot-classification"
] | zero-shot-classification | false | HiTZ | null | HiTZ/A2T_RoBERTa_SMFA_WikiEvents-arg | 13 | null | transformers | 10,284 | ---
pipeline_tag: zero-shot-classification
datasets:
- snli
- anli
- multi_nli
- multi_nli_mismatch
- fever
---
# A2T Entailment model
**Important:** These pretrained entailment models are intended to be used with the [Ask2Transformers](https://github.com/osainz59/Ask2Transformers) library but are also fully compatib... |
LACAI/roberta-large-adapted-PFG-progression | 29a4358d7093e6cf5be02a51ac4e46402174ed3c | 2022-05-02T18:28:47.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"transformers",
"license:mit"
] | text-classification | false | LACAI | null | LACAI/roberta-large-adapted-PFG-progression | 13 | null | transformers | 10,285 | ---
license: mit
---
Base model: [lacai/roberta-large-dialog-narrative](https://huggingface.co/lacai/roberta-large-dialog-narrative)
Fine tuned as a progression model (to predict the acceptability of a dialogue) on the [Persuasion For Good Dataset](https://gitlab.com/ucdavisnlp/persuasionforgood) (Wang et al., 2019):... |
guhuawuli/distilbert-imdb | c2e252dfa55322f7e70e679afa41ba620e492eb5 | 2022-05-04T10:57:23.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | guhuawuli | null | guhuawuli/distilbert-imdb | 13 | null | transformers | 10,286 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-imdb
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. -->
# di... |
tbosse/bert-base-german-cased-finetuned-subj_v6_7Epoch | 495eb0ec9f2bf7ece81d890d5ce8a71775fd6c71 | 2022-05-05T16:05:18.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | tbosse | null | tbosse/bert-base-german-cased-finetuned-subj_v6_7Epoch | 13 | null | transformers | 10,287 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-german-cased-finetuned-subj_v6_7Epoch
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofrea... |
sam999/t5-end2end-questions-generation | 03e687de9130041f51c29075326b47246cb2af47 | 2022-05-08T20:01:47.000Z | [
"pytorch",
"t5",
"text2text-generation",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | sam999 | null | sam999/t5-end2end-questions-generation | 13 | null | transformers | 10,288 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: t5-end2end-questions-generation
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 c... |
airi/bert-finetuned-protagonist | e74fb847fa4e9af1eae7642ea7674c17bb1f9564 | 2022-05-08T12:05:38.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | airi | null | airi/bert-finetuned-protagonist | 13 | null | transformers | 10,289 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-protagonist
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 thi... |
ysohotm/gpt2-sanwen | 85451c760f51a82c8b0dd201898fb90eb2b73281 | 2022-05-09T01:55:43.000Z | [
"pytorch",
"transformers"
] | null | false | ysohotm | null | ysohotm/gpt2-sanwen | 13 | null | transformers | 10,290 | Entry not found |
dnhan/t5vi-finetuned-en-to-vi | 08ba15365e1765c511c54d7116aa2f8fa37f9be1 | 2022-05-09T12:55:31.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:mt_eng_vietnamese",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | dnhan | null | dnhan/t5vi-finetuned-en-to-vi | 13 | null | transformers | 10,291 | ---
tags:
- generated_from_trainer
datasets:
- mt_eng_vietnamese
metrics:
- bleu
model-index:
- name: t5vi-finetuned-en-to-vi
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: mt_eng_vietnamese
type: mt_eng_vietnamese
args: iwsl... |
ysharma/distilbert-base-uncased-finetuned-emotions | c285a78260041948454712fa8c96c39e2031bba1 | 2022-05-09T17:10:14.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | ysharma | null | ysharma/distilbert-base-uncased-finetuned-emotions | 13 | null | transformers | 10,292 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotions
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metri... |
CEBaB/bert-base-uncased.CEBaB.sa.3-class.exclusive.seed_66 | 4efba2c87661be2372686848a3ebe2d38902755f | 2022-05-11T00:30:35.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | CEBaB | null | CEBaB/bert-base-uncased.CEBaB.sa.3-class.exclusive.seed_66 | 13 | null | transformers | 10,293 | Entry not found |
CEBaB/gpt2.CEBaB.sa.3-class.exclusive.seed_77 | ad8643b4e9bcf29b732cd597c8dae88be208761a | 2022-05-11T01:33:48.000Z | [
"pytorch",
"gpt2",
"transformers"
] | null | false | CEBaB | null | CEBaB/gpt2.CEBaB.sa.3-class.exclusive.seed_77 | 13 | null | transformers | 10,294 | Entry not found |
CEBaB/bert-base-uncased.CEBaB.sa.3-class.exclusive.seed_88 | b5e43a5710a916988ee5411782861bd6b9d96c20 | 2022-05-11T02:15:16.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | CEBaB | null | CEBaB/bert-base-uncased.CEBaB.sa.3-class.exclusive.seed_88 | 13 | null | transformers | 10,295 | Entry not found |
CEBaB/bert-base-uncased.CEBaB.sa.3-class.exclusive.seed_99 | 9df83876a246b702abb2e684d027bd21440182ff | 2022-05-11T03:06:42.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | CEBaB | null | CEBaB/bert-base-uncased.CEBaB.sa.3-class.exclusive.seed_99 | 13 | null | transformers | 10,296 | Entry not found |
Matthijs/mobilevit-small | fe9d761b8b0b70b03ffb759b94060b3942beda61 | 2022-05-16T13:54:50.000Z | [
"pytorch",
"coreml",
"mobilevit",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.02178",
"transformers",
"vision",
"license:other"
] | image-classification | false | Matthijs | null | Matthijs/mobilevit-small | 13 | null | transformers | 10,297 | ---
license: other
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https://hu... |
SBB/sbb_ner | 005744fc203b5f4e27e6e1cb8a9649f1e1f4e674 | 2022-05-11T18:55:28.000Z | [
"de",
"dataset:conll2003",
"dataset:germeval14",
"dataset:europeananewspapers2016",
"transformers",
"pytorch",
"token-classification",
"sequence-tagger-model",
"license:apache-2.0"
] | token-classification | false | SBB | null | SBB/sbb_ner | 13 | null | transformers | 10,298 | ---
tags:
- pytorch
- token-classification
- sequence-tagger-model
language: de
datasets:
- conll2003
- germeval14
- europeananewspapers2016
license: apache-2.0
---
|
lucifermorninstar011/autotrain-lucifer_job_title-853727204 | 038e4b2d9f4449023044e9809bd824f8506528b7 | 2022-05-11T19:34:10.000Z | [
"pytorch",
"distilbert",
"token-classification",
"en",
"dataset:lucifermorninstar011/autotrain-data-lucifer_job_title",
"transformers",
"autotrain",
"co2_eq_emissions",
"autotrain_compatible"
] | token-classification | false | lucifermorninstar011 | null | lucifermorninstar011/autotrain-lucifer_job_title-853727204 | 13 | null | transformers | 10,299 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- lucifermorninstar011/autotrain-data-lucifer_job_title
co2_eq_emissions: 37.9114777406005
---
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 853727204
- CO2 Emissions (in grams): 37.9114777406005
## Valid... |
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