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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Upload/sahajbert2 | 819c65aa36806f9074c17a6d0413df2ad564e1dd | 2021-10-13T22:58:26.000Z | [
"pytorch",
"albert",
"transformers"
] | null | false | Upload | null | Upload/sahajbert2 | 16 | null | transformers | 9,200 | Entry not found |
activebus/BERT-DK_rest | e406298fc2fac20f92de4fcda3f4893d0ecbc579 | 2021-05-18T23:02:24.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | activebus | null | activebus/BERT-DK_rest | 16 | null | transformers | 9,201 | # ReviewBERT
BERT (post-)trained from review corpus to understand sentiment, options and various e-commence aspects.
`BERT-DK_rest` is trained from 1G (19 types) restaurants from Yelp.
## Model Description
The original model is from `BERT-base-uncased` trained from Wikipedia+BookCorpus.
Models are post-trained ... |
addy88/wav2vec2-bengali-stt | d8ba812492df67c8de51ba39aa37e4a749e956ea | 2021-12-19T16:52:02.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | addy88 | null | addy88/wav2vec2-bengali-stt | 16 | null | transformers | 9,202 | ## Usage
The model can be used directly (without a language model) as follows:
```python
import soundfile as sf
import torch
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
import argparse
def parse_transcription(wav_file):
# load pretrained model
processor = Wav2Vec2Processor.from_pretrained("addy88... |
akdeniz27/bert-base-hungarian-cased-ner | 4208bfe317e59ac7ad21bc646810451128ff456a | 2021-09-16T17:01:32.000Z | [
"pytorch",
"bert",
"token-classification",
"hu",
"transformers",
"autotrain_compatible"
] | token-classification | false | akdeniz27 | null | akdeniz27/bert-base-hungarian-cased-ner | 16 | 1 | transformers | 9,203 | ---
language: hu
widget:
- text: "Karikó Katalin megkapja Szeged díszpolgárságát."
---
# Hungarian Named Entity Recognition (NER) Model
This model is the fine-tuned model of "SZTAKI-HLT/hubert-base-cc"
using the famous WikiANN dataset presented
in the "Cross-lingual Name Tagging and Linking for 282 Languages" [paper](... |
akdeniz27/xlm-roberta-base-turkish-ner | efa16f143e3456a271668cf50468c35aa34d6540 | 2021-11-08T19:29:45.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"tr",
"transformers",
"autotrain_compatible"
] | token-classification | false | akdeniz27 | null | akdeniz27/xlm-roberta-base-turkish-ner | 16 | 1 | transformers | 9,204 | ---
language: tr
widget:
- text: "Mustafa Kemal Atatürk 19 Mayıs 1919'da Samsun'a çıktı."
---
# Turkish Named Entity Recognition (NER) Model
This model is the fine-tuned version of "xlm-roberta-base"
(a multilingual version of RoBERTa)
using a reviewed version of well known Turkish NER dataset
(https://github.com/ste... |
alireza7/PEGASUS-persian-base | 3d47fb98dd9deb3ee9420f60f31844efb3180692 | 2021-09-29T19:26:22.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | alireza7 | null | alireza7/PEGASUS-persian-base | 16 | null | transformers | 9,205 | More information about models is available [here](https://github.com/alirezasalemi7/ARMAN). |
andi611/distilbert-base-uncased-ner-mit-restaurant | f93ce5dfe3e079e345906596dd05d19f279e8eb6 | 2021-08-23T08:11:51.000Z | [
"pytorch",
"distilbert",
"token-classification",
"en",
"dataset:mit_restaurant",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | andi611 | null | andi611/distilbert-base-uncased-ner-mit-restaurant | 16 | 1 | transformers | 9,206 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- mit_restaurant
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: distilbert-base-uncased-ner-mit-restaurant
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: m... |
asapp/sew-small-100k | e27fc697bf10458b6379b1a429c949fd1e37a378 | 2021-10-26T19:39:52.000Z | [
"pytorch",
"sew",
"feature-extraction",
"en",
"dataset:librispeech_asr",
"arxiv:2109.06870",
"transformers",
"speech",
"license:apache-2.0"
] | feature-extraction | false | asapp | null | asapp/sew-small-100k | 16 | null | transformers | 9,207 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# SEW-small
[SEW by ASAPP Research](https://github.com/asappresearch/sew)
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz. Note that this model s... |
ayameRushia/gpt2-medium-fine-tuning-indonesia-poem | 491b586b01eb2e5ca41ab1fd8250eb1b157f1270 | 2021-08-03T13:14:10.000Z | [
"pytorch",
"gpt2",
"text-generation",
"id",
"transformers"
] | text-generation | false | ayameRushia | null | ayameRushia/gpt2-medium-fine-tuning-indonesia-poem | 16 | null | transformers | 9,208 | ---
language: id
widget:
- text: "Wahai rembulan yang tertutup awan hujan"
---
# Indonesian GPT-2-medium finetuned on Indonesian poems
This is the [Indonesian gpt2-medium model](https://huggingface.co/flax-community/gpt2-medium-indonesian) fine-tuned to Indonesian poems. The dataset can be found in [here](https://huggi... |
binwang/bert-base-nli | 02dcb3d1ee879222bb3caac670effdcd82966b8a | 2021-05-19T12:40:51.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | binwang | null | binwang/bert-base-nli | 16 | null | transformers | 9,209 | Entry not found |
byeongal/gpt2-medium | 601c1d9c58e4d94784b926455b3f807d3c92a967 | 2021-06-22T02:46:05.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"license:mit"
] | text-generation | false | byeongal | null | byeongal/gpt2-medium | 16 | null | transformers | 9,210 | ---
language: en
tags:
- gpt2
license: mit
---
# GPT-2
- This model forked from [gpt2](https://huggingface.co/gpt2-medium) for fine tune [Teachable NLP](https://ainize.ai/teachable-nlp).
Test the whole generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large
Pretrained model on English lang... |
cahya/wav2vec2-large-xlsr-indonesian-mix | 5a0a47766322508f0942d5a954310a814e1847ce | 2021-07-05T23:53:28.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"id",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | cahya | null | cahya/wav2vec2-large-xlsr-indonesian-mix | 16 | 1 | transformers | 9,211 | ---
language: id
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Indonesian Mix by Cahya
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset... |
cointegrated/rut5-base-quiz | e9a32de194f7b667eb29666b9a4bff62a227e4d5 | 2021-10-06T12:38:43.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | cointegrated | null | cointegrated/rut5-base-quiz | 16 | null | transformers | 9,212 | Entry not found |
crylake/kw2poem-generation | 61b81c9faae4b715e545ced0a25c00197742702a | 2021-10-05T10:57:00.000Z | [
"pytorch",
"gpt2",
"text-generation",
"vi",
"transformers",
"gpt"
] | text-generation | false | crylake | null | crylake/kw2poem-generation | 16 | null | transformers | 9,213 | ---
language: vi
tags:
- gpt
widget:
- text: "<s> núi nhà xe [SEP] "
---
### Kw2Poem
|
danasone/rubert-tiny-grammar | 76779725605a34769dce076bab86e3f47bc0d914 | 2022-02-10T14:59:15.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | danasone | null | danasone/rubert-tiny-grammar | 16 | null | transformers | 9,214 | Entry not found |
dattam/DialoGPT-medium-TonyStarkBot | db1c217bd4ca6e19dd9459266e58dee3052bbe97 | 2021-09-09T18:05:36.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | dattam | null | dattam/DialoGPT-medium-TonyStarkBot | 16 | 3 | transformers | 9,215 | ---
tags:
- conversational
---
# Tony Stark DialoGPT model
Invite me to your discord server : https://discord.com/api/oauth2/authorize?client_id=885065886787063848&permissions=137439365184&scope=bot |
ddwkim/asr-conformer-transformerlm-ksponspeech | 31c9b51458a9400be95c40601496f2e36a41e485 | 2022-06-18T20:21:50.000Z | [
"kr",
"dataset:ksponspeech",
"arxiv:2106.04624",
"speechbrain",
"ASR",
"CTC",
"Attention",
"Conformer",
"pytorch",
"license:apache-2.0"
] | null | false | ddwkim | null | ddwkim/asr-conformer-transformerlm-ksponspeech | 16 | null | speechbrain | 9,216 | ---
language: "kr"
thumbnail:
tags:
- ASR
- CTC
- Attention
- Conformer
- pytorch
- speechbrain
license: "apache-2.0"
datasets:
- ksponspeech
metrics:
- wer
- cer
---
<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" wid... |
defex/distilgpt2-movie-review-generation | 1a2dc552ac33aaf4a752100f460bcd7784d7a8ae | 2021-10-04T14:52:34.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | defex | null | defex/distilgpt2-movie-review-generation | 16 | null | transformers | 9,217 | Entry not found |
deval/bert-base-uncased-finetuned-ner | 4bc297ca56ebc8ebe47e4cfe290556c63fa80940 | 2021-09-21T15:56:09.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:x_glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | deval | null | deval/bert-base-uncased-finetuned-ner | 16 | null | transformers | 9,218 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- x_glue
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-uncased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: x_glue
type: x_glue
arg... |
doc2query/msmarco-t5-small-v1 | eb04306040c87ff35caa4c87078dfd94a6b7b64e | 2022-01-10T10:19:24.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:sentence-transformers/embedding-training-data",
"arxiv:1904.08375",
"arxiv:2104.08663",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | doc2query | null | doc2query/msmarco-t5-small-v1 | 16 | null | transformers | 9,219 | ---
language: en
datasets:
- sentence-transformers/embedding-training-data
widget:
- text: "Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-orient... |
doc2query/stackexchange-title-body-t5-base-v1 | 588b0ebaaba2f8224093f02b8cf79ca08b5c935c | 2022-01-07T08:48:22.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:flax-sentence-embeddings/stackexchange_title_body_jsonl",
"arxiv:1904.08375",
"arxiv:2104.08663",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | doc2query | null | doc2query/stackexchange-title-body-t5-base-v1 | 16 | null | transformers | 9,220 | ---
language: en
datasets:
- flax-sentence-embeddings/stackexchange_title_body_jsonl
widget:
- text: "Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and obj... |
emeraldgoose/bert-base-v1-sports | 1d63d563631142d326dea448681b1f86b8194ba7 | 2021-11-21T05:45:05.000Z | [
"pytorch",
"bert",
"fill-mask",
"ko",
"transformers",
"autotrain_compatible"
] | fill-mask | false | emeraldgoose | null | emeraldgoose/bert-base-v1-sports | 16 | null | transformers | 9,221 | ---
language: ko
mask_token: "[MASK]"
widget:
- text: 산악 자전거 경기는 상대적으로 새로운 [MASK] 1990년대에 활성화 되었다.
---
## Data-annotation-nlp-10 (BoostCamp AI)
위키피디아(스포츠) dataset 구축을 진행하면서 얻은 문장을 통해 bert 사전학습을 진행
## How to use
```python
from transformers import AutoTokenizer, BertForMaskedLM
model = BertForMaskedLM.from_pretrain... |
fidukm34/biobert_v1.1_pubmed-finetuned-ner-finetuned-ner | efe0a8e21f347eb3381cd18405fbf0cea59b4a61 | 2021-08-20T01:06:53.000Z | [
"pytorch",
"bert",
"token-classification",
"dataset:ncbi_disease",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | false | fidukm34 | null | fidukm34/biobert_v1.1_pubmed-finetuned-ner-finetuned-ner | 16 | 1 | transformers | 9,222 | ---
tags:
- generated_from_trainer
datasets:
- ncbi_disease
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: biobert_v1.1_pubmed-finetuned-ner-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: ncbi_disease
type: ncbi_dis... |
gagan3012/rap-writer | e10572079412290e56db5aa48f81c4592b32b05f | 2021-05-21T16:09:53.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | gagan3012 | null | gagan3012/rap-writer | 16 | 1 | transformers | 9,223 | # Generating Rap song Lyrics like Eminem Using GPT2
### I have built a custom model for it using data from Kaggle
Creating a new finetuned model using data lyrics from leading hip-hop stars
### My model can be accessed at: gagan3012/rap-writer
```
from transformers import AutoTokenizer, AutoModelWithLMHead
token... |
gchhablani/bert-base-cased-finetuned-wnli | 92c99aaa03b045535eaf1e348869ee775d6f157d | 2021-09-20T09:07:04.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"en",
"dataset:glue",
"arxiv:2105.03824",
"transformers",
"generated_from_trainer",
"fnet-bert-base-comparison",
"license:apache-2.0",
"model-index"
] | text-classification | false | gchhablani | null | gchhablani/bert-base-cased-finetuned-wnli | 16 | null | transformers | 9,224 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- accuracy
model-index:
- name: bert-base-cased-finetuned-wnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE WNLI
type: g... |
gchhablani/fnet-large-finetuned-cola | 50589005499dd886d4c7a0d23ac4e9acb558e685 | 2021-10-09T14:36:27.000Z | [
"pytorch",
"tensorboard",
"fnet",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | gchhablani | null | gchhablani/fnet-large-finetuned-cola | 16 | null | transformers | 9,225 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: fnet-large-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
args: cola
... |
ghadeermobasher/BC2GM-Gene_Imbalancedscibert_scivocab_cased | cd7e6d7355ef89fa891407027349c6c8dbfa1086 | 2022-01-23T19:20:27.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC2GM-Gene_Imbalancedscibert_scivocab_cased | 16 | null | transformers | 9,226 | Entry not found |
giacomomiolo/biobert_reupload | 0e92180553d5203bcaad0cb60d780ab175d5d3aa | 2021-05-19T17:14:24.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | giacomomiolo | null | giacomomiolo/biobert_reupload | 16 | 1 | transformers | 9,227 | Entry not found |
google/tapas-medium-finetuned-sqa | 85c09e1bdf17ca0cb636b01ffdfeada8756ee771 | 2021-11-29T13:09:52.000Z | [
"pytorch",
"tf",
"tapas",
"table-question-answering",
"en",
"dataset:msr_sqa",
"arxiv:2004.02349",
"arxiv:2010.00571",
"transformers",
"license:apache-2.0"
] | table-question-answering | false | google | null | google/tapas-medium-finetuned-sqa | 16 | null | transformers | 9,228 | ---
language: en
tags:
- tapas
license: apache-2.0
datasets:
- msr_sqa
---
# TAPAS medium model fine-tuned on Sequential Question Answering (SQA)
This model has 2 versions which can be used. The default version corresponds to the `tapas_sqa_inter_masklm_medium_reset` checkpoint of the [original Github repository](htt... |
gsarti/it5-base-oscar | c9d5f3699de155695d8de7bff4e1745f909d4125 | 2022-05-29T09:02:08.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"it",
"dataset:oscar",
"arxiv:2203.03759",
"transformers",
"seq2seq",
"lm-head",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | gsarti | null | gsarti/it5-base-oscar | 16 | null | transformers | 9,229 | ---
language:
- it
datasets:
- oscar
tags:
- seq2seq
- lm-head
license: apache-2.0
inference: false
---
# Italian T5 Base (Oscar) 🇮🇹
*This repository contains the model formerly known as `gsarti/t5-base-it`*
The [IT5](https://huggingface.co/models?search=it5) model family represents the first effort in pretrain... |
hfl/chinese-electra-small-ex-generator | 5edcd37a269eb88f437e07fdc512f09aa0c6b1f5 | 2021-03-03T01:39:16.000Z | [
"pytorch",
"tf",
"zh",
"arxiv:2004.13922",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | false | hfl | null | hfl/chinese-electra-small-ex-generator | 16 | null | transformers | 9,230 | ---
language:
- zh
license: "apache-2.0"
pipeline_tag: "fill-mask"
---
**Please use `ElectraForPreTraining` for `discriminator` and `ElectraForMaskedLM` for `generator` if you are re-training these models.**
## Chinese ELECTRA
Google and Stanford University released a new pre-trained model called ELECTRA, which has ... |
hrdipto/wav2vec2-xls-r-300m-bangla-command-generated-data | 8007ab0056d5ea0cf8ca4525ee12745e69a6ec3b | 2022-02-14T06:49:14.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | hrdipto | null | hrdipto/wav2vec2-xls-r-300m-bangla-command-generated-data | 16 | 1 | transformers | 9,231 | Entry not found |
huggingtweets/crowdhaiku | 7a044b7ae7cc27ce83a1d54eca70d38b18fa8427 | 2021-05-21T23:40:58.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/crowdhaiku | 16 | null | transformers | 9,232 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo_share.png?raw=true
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) {
... |
huggingtweets/echocanidae | bc92217918c8271622bc12150b8409ce0c4c0ec9 | 2021-05-22T02:35:27.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/echocanidae | 16 | null | transformers | 9,233 | ---
language: en
thumbnail: https://www.huggingtweets.com/echocanidae/1617770746784/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/1378606514173... |
huggingtweets/filler_username | 1b10d7e854cbd300037549389cdeaa628e5796c0 | 2021-05-22T04:14:29.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/filler_username | 16 | null | transformers | 9,234 | ---
language: en
thumbnail: https://www.huggingtweets.com/filler_username/1617904327234/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/135611573... |
huggingtweets/horniestdoe | 41e6a08d7b6250f18a4acce23fd7cdd5c3f50f9f | 2021-05-22T07:07:49.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/horniestdoe | 16 | null | transformers | 9,235 | ---
language: en
thumbnail: https://www.huggingtweets.com/horniestdoe/1616726630751/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/1374823579129... |
huggingtweets/ibjiyongi | 406af41107503c1c1cd22e36cff7078b3abd430c | 2021-05-22T07:42:20.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/ibjiyongi | 16 | null | transformers | 9,236 | ---
language: en
thumbnail: https://www.huggingtweets.com/ibjiyongi/1607118906119/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 { colo... |
huggingtweets/jokesofthedaydn | b57def426d55496596da13eb0605c2245bc685c6 | 2021-11-19T03:20:16.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/jokesofthedaydn | 16 | null | transformers | 9,237 | ---
language: en
thumbnail: https://www.huggingtweets.com/jokesofthedaydn/1637292011991/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px... |
huggingtweets/mormo_music | c459183e6d9ef7f58c0d13cd003fdb594c22da93 | 2021-05-22T15:16:51.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/mormo_music | 16 | null | transformers | 9,238 | ---
language: en
thumbnail: https://www.huggingtweets.com/mormo_music/1619264382586/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/1309110567383... |
huggingtweets/nolanatlas | 8bc39625bb6431cf5d05baf49b441ec460fc5617 | 2021-05-22T16:43:03.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/nolanatlas | 16 | null | transformers | 9,239 | ---
language: en
thumbnail: https://www.huggingtweets.com/nolanatlas/1617955301190/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/13753013948533... |
huggingtweets/quietpinetrees | 07c4666adbfd38f38222b914a7240def8a3d9780 | 2021-05-22T20:03:59.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/quietpinetrees | 16 | null | transformers | 9,240 | ---
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... |
huggingtweets/rabbitsnap | 45c6f64cd8c722b747343423581a6d4f628eeea7 | 2021-05-22T20:07:48.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/rabbitsnap | 16 | null | transformers | 9,241 | ---
language: en
thumbnail: https://www.huggingtweets.com/rabbitsnap/1616829658609/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/13545579337875... |
huggingtweets/vtubercringe | 6051c4fcc87ed80a122dabf98538de058a36daf1 | 2021-05-23T04:06:25.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/vtubercringe | 16 | null | transformers | 9,242 | ---
language: en
thumbnail: https://www.huggingtweets.com/vtubercringe/1620710616387/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; w... |
ikevin98/bert-base-uncased-finetuned-sst2 | e3a114513818ae8c532a62972d42c14057d0cc45 | 2021-08-13T00:33:58.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | false | ikevin98 | null | ikevin98/bert-base-uncased-finetuned-sst2 | 16 | 1 | transformers | 9,243 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model_index:
- name: bert-base-uncased-finetuned-sst2
results:
- dataset:
name: glue
type: glue
args: sst2
metric:
name: Accuracy
type: accuracy
value: 0.926605504587156
---
<!-- This... |
it5/mt5-small-wiki-summarization | c9e20cf8a4681f3e91c971e23f1eb53452ea9c51 | 2022-03-09T07:51:07.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"mt5",
"text2text-generation",
"it",
"dataset:wits",
"arxiv:2203.03759",
"transformers",
"italian",
"sequence-to-sequence",
"wikipedia",
"summarization",
"wits",
"license:apache-2.0",
"model-index",
"co2_eq_emissions",
"autotrain_compatible"... | summarization | false | it5 | null | it5/mt5-small-wiki-summarization | 16 | null | transformers | 9,244 | ---
language:
- it
license: apache-2.0
datasets:
- wits
tags:
- italian
- sequence-to-sequence
- wikipedia
- summarization
- wits
widget:
- text: "La 5ª Commissione ha competenza per i disegni di legge riguardanti le specifiche materie del bilancio, del personale e dei servizi del Ministero dell'economia, nonché per i ... |
jaesun/kcbert-base-finetuned-nsmc | 4ced84e3e358db5efb90e111c6e08f628bc65242 | 2021-10-21T02:59:10.000Z | [
"pytorch",
"bert",
"text-classification",
"dataset:nsmc",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | jaesun | null | jaesun/kcbert-base-finetuned-nsmc | 16 | null | transformers | 9,245 | ---
tags:
- generated_from_trainer
datasets:
- nsmc
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: kcbert-base-finetuned-nsmc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: nsmc
type: nsmc
args: default
metrics:
- nam... |
jinmang2/dall-e-tokenizer | aa8b8a0cb4f36fa25a5ebf464bd2e4c4378ab847 | 2021-08-30T18:20:38.000Z | [
"pytorch",
"transformers"
] | null | false | jinmang2 | null | jinmang2/dall-e-tokenizer | 16 | null | transformers | 9,246 | # DALL-E-Tokenizer
Huggingface package for the discrete VAE usded for [DALL-E](https://github.com/openai/DALL-E).
# How to use
```python
# from dall_e_tok import DallEEncoder
from dall_e_tok import DALLETokenizer
tokenizer = DALLETokenizer.from_pretrained("jinmang2/dall-e-tokenizer")
```
|
jsnfly/wav2vec2-large-xlsr-53-german-gpt2 | fa8d49f2e28fb1dd01efd2106767aa72061592ac | 2022-03-23T18:29:57.000Z | [
"pytorch",
"speech-encoder-decoder",
"automatic-speech-recognition",
"de",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_7_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | jsnfly | null | jsnfly/wav2vec2-large-xlsr-53-german-gpt2 | 16 | 2 | transformers | 9,247 | ---
language:
- de
license: apache-2.0
tags:
- automatic-speech-recognition
- de
- hf-asr-leaderboard
- mozilla-foundation/common_voice_7_0
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: Wav2Vec2-Large-XLSR-53-German-GPT2
results:
- task:
name: Automatic Speech Reco... |
justinqbui/bertweet-covid-vaccine-tweets-finetuned | 7dce8aba8fb32555855eb7b8364e15ec692450a0 | 2021-12-14T06:54:39.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"model-index"
] | text-classification | false | justinqbui | null | justinqbui/bertweet-covid-vaccine-tweets-finetuned | 16 | 1 | transformers | 9,248 | ---
tags:
model-index:
- name: bertweet-covid--vaccine-tweets-finetuned
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. -->
# bertweet-covid19-base-uncased-pretrain... |
kingabzpro/wav2vec2-large-xlsr-300-arabic | d7073710719ae3e830dfc3ab8a71583980093f90 | 2022-03-23T18:27:36.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"hf-asr-leaderboard",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | kingabzpro | null | kingabzpro/wav2vec2-large-xlsr-300-arabic | 16 | 2 | transformers | 9,249 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- hf-asr-leaderboard
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_7_0
metrics:
- wer
- cer
model-index:
- name: wav2vec2-xls-r-300m-arabic
results:
- task:
type: automatic-speech-recognition
name: Speech Rec... |
kouohhashi/roberta_ja | 977f188cfad15c500ded6dca3dd78a20fc654f29 | 2021-05-20T17:36:27.000Z | [
"pytorch",
"jax",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | kouohhashi | null | kouohhashi/roberta_ja | 16 | null | transformers | 9,250 | hello
|
ktrapeznikov/gpt2-medium-topic-small-set | 9901a86851aeb94aad0f8eaba52377aefbf87e81 | 2021-05-23T06:21:38.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers"
] | text-generation | false | ktrapeznikov | null | ktrapeznikov/gpt2-medium-topic-small-set | 16 | null | transformers | 9,251 | ---
language:
- en
thumbnail:
widget:
- text: "topic climate source"
---
# GPT2-medium-topic-news
## Model description
GPT2-medium fine tuned on a small news corpus conditioned on a topic, source, title
## Intended uses & limitations
#### How to use
To generate a news article text conditioned on a topic, source... |
l3cube-pune/hate-multi-roberta-hasoc-hindi | 18accbe75e00558d42dc8ffc3bacade2445ef0fa | 2021-10-30T18:08:46.000Z | [
"pytorch",
"tf",
"roberta",
"text-classification",
"hi",
"dataset:HASOC 2021",
"arxiv:2110.12200",
"transformers",
"license:cc-by-4.0"
] | text-classification | false | l3cube-pune | null | l3cube-pune/hate-multi-roberta-hasoc-hindi | 16 | null | transformers | 9,252 | ---
language: hi
tags:
- roberta
license: cc-by-4.0
datasets:
- HASOC 2021
widget:
- text: "I like you. </s></s> I love you."
---
## hate-roberta-hasoc-hindi
hate-roberta-hasoc-hindi is a multi-class hate speech model fine-tuned on Hindi Hasoc Hate Speech Dataset 2021.
The label mappings are 0 -> None, 1 -> Offensiv... |
lewtun/bert-base-uncased-finetuned-boolq | e10f6d94b0baa8c7a57f8244e5eb3984c7965289 | 2021-05-19T21:23:35.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | lewtun | null | lewtun/bert-base-uncased-finetuned-boolq | 16 | null | transformers | 9,253 | Entry not found |
liaad/srl-enpt_mbert-base | d30fb1ab00f5aff867da3dbf5a6bf380f82aad71 | 2021-09-22T08:56:17.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"multilingual",
"pt",
"en",
"dataset:PropBank.Br",
"dataset:CoNLL-2012",
"arxiv:2101.01213",
"transformers",
"bert-base-multilingual-cased",
"semantic role labeling",
"finetuned",
"license:apache-2.0"
] | feature-extraction | false | liaad | null | liaad/srl-enpt_mbert-base | 16 | null | transformers | 9,254 | ---
language:
- multilingual
- pt
- en
tags:
- bert-base-multilingual-cased
- semantic role labeling
- finetuned
license: apache-2.0
datasets:
- PropBank.Br
- CoNLL-2012
metrics:
- F1 Measure
---
# mBERT base fine-tune in English and Portuguese semantic role labeling
## Model description
This model is the [`bert-bas... |
liaad/ud_srl-enpt_xlmr-large | 7377e74ea96ea2c6791d4b7a4986721b79f21532 | 2021-09-22T08:56:40.000Z | [
"pytorch",
"xlm-roberta",
"feature-extraction",
"multilingual",
"pt",
"en",
"dataset:PropBank.Br",
"dataset:CoNLL-2012",
"dataset:Universal Dependencies",
"arxiv:2101.01213",
"transformers",
"xlm-roberta-large",
"semantic role labeling",
"finetuned",
"dependency parsing",
"license:apac... | feature-extraction | false | liaad | null | liaad/ud_srl-enpt_xlmr-large | 16 | 1 | transformers | 9,255 | ---
language:
- multilingual
- pt
- en
tags:
- xlm-roberta-large
- semantic role labeling
- finetuned
- dependency parsing
license: apache-2.0
datasets:
- PropBank.Br
- CoNLL-2012
- Universal Dependencies
metrics: f1
---
# XLM-R large fine-tuned in Portuguese Universal Dependencies and English and Portuguese semanti... |
liam168/c4-zh-distilbert-base-uncased | 62e45a0b067de6bcce36dec4c84ec166abd96dd2 | 2021-07-07T03:21:34.000Z | [
"pytorch",
"distilbert",
"text-classification",
"zh",
"transformers",
"exbert",
"license:apache-2.0"
] | text-classification | false | liam168 | null | liam168/c4-zh-distilbert-base-uncased | 16 | null | transformers | 9,256 | ---
language: zh
tags:
- exbert
license: apache-2.0
widget:
- text: "女人做得越纯粹，皮肤和身材就越好"
- text: "我喜欢篮球"
---
# liam168/c4-zh-distilbert-base-uncased
## Model description
用 ["女性","体育","文学","校园"]4类数据训练的分类模型。
## Overview
- **Language model**: DistilBERT
- **Model size**: 280M
- **Language**: Chinese
## Example
```py... |
luffycodes/bb_narataka_roberta_large_nli_bsz_16_bb_bsz_16_nli_lr_1e5_bb_lr_1e5_grad | 73c9a60f3781a412e420fa46585e8f1cec5df4c1 | 2021-10-29T09:42:11.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | luffycodes | null | luffycodes/bb_narataka_roberta_large_nli_bsz_16_bb_bsz_16_nli_lr_1e5_bb_lr_1e5_grad | 16 | null | transformers | 9,257 | Entry not found |
lvargas/distilbert-base-uncased-finetuned-emotion2 | 0e019de7d9ff47220520db824f3d7663d6d771a0 | 2022-02-07T01:36:32.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | lvargas | null | lvargas/distilbert-base-uncased-finetuned-emotion2 | 16 | null | transformers | 9,258 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: defaul... |
macedonizer/sr-gpt2 | 728a90e9a3e16959cae11752acc509c3ed93d7d4 | 2021-09-22T08:58:57.000Z | [
"pytorch",
"gpt2",
"text-generation",
"sr",
"dataset:wiki-sr",
"transformers",
"license:apache-2.0"
] | text-generation | false | macedonizer | null | macedonizer/sr-gpt2 | 16 | null | transformers | 9,259 | ---
language:
- sr
thumbnail: https://huggingface.co/macedonizer/sr-gpt2/desanka-maksimovic.jpeg
license: apache-2.0
datasets:
- wiki-sr
---
# sr-gpt2
Test the whole generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large
Pretrained model on English language using a causal language modeling (CL... |
madlag/albert-base-v2-squad | f0bd07c7c05264288d6f53e2f6a27542aa8eb7a2 | 2021-05-05T13:54:33.000Z | [
"pytorch",
"albert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | madlag | null | madlag/albert-base-v2-squad | 16 | null | transformers | 9,260 | Albert v2 finetuned on SQuAD v1.
Trained using the [nn_pruning](https://github.com/huggingface/nn_pruning/tree/main/examples/question_answering) script, with pruning disabled.
[Original results](https://github.com/google-research/albert) are F1=90.2, EM=83.2, we improved them to:
```{
"exact_match": 83.74645222... |
microsoft/unispeech-1350-en-353-fr-ft-1h | 22b27346e4a5fec130c7010443589141251e6c0e | 2021-12-19T23:14:27.000Z | [
"pytorch",
"unispeech",
"automatic-speech-recognition",
"fr",
"dataset:common_voice",
"arxiv:2101.07597",
"transformers",
"audio"
] | automatic-speech-recognition | false | microsoft | null | microsoft/unispeech-1350-en-353-fr-ft-1h | 16 | null | transformers | 9,261 | ---
language:
- fr
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
---
# UniSpeech-Large-plus FRENCH
[Microsoft's UniSpeech](https://www.microsoft.com/en-us/research/publication/unispeech-unified-speech-representation-learning-with-labeled-and-unlabeled-data/)
The large model pretrained on 16kH... |
milyiyo/selectra-small-finetuned-amazon-review | 0f32574af8beb11c8d44e13c60d51747ea049136 | 2022-01-20T21:11:57.000Z | [
"pytorch",
"tensorboard",
"electra",
"text-classification",
"dataset:amazon_reviews_multi",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | milyiyo | null | milyiyo/selectra-small-finetuned-amazon-review | 16 | null | transformers | 9,262 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: selectra-small-finetuned-amazon-review
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_m... |
mmoradi/Robust-Biomed-RoBERTa-RelationClassification | 2bf1006c07040859f9ba40779b609cf0fd46350f | 2021-10-06T13:55:58.000Z | [
"pytorch",
"jax",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | mmoradi | null | mmoradi/Robust-Biomed-RoBERTa-RelationClassification | 16 | 1 | transformers | 9,263 | Entry not found |
mohsenfayyaz/bert-base-uncased-toxicity | d46f84b96a61aac1c4bf2b7f2a707d29de6e11e5 | 2021-05-19T23:45:38.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | mohsenfayyaz | null | mohsenfayyaz/bert-base-uncased-toxicity | 16 | null | transformers | 9,264 | Entry not found |
monologg/electra-small-finetuned-imdb | 56e39f36c4e107786d3c71377ebd7169e961ec2a | 2020-05-23T09:20:27.000Z | [
"pytorch",
"tflite",
"electra",
"text-classification",
"transformers"
] | text-classification | false | monologg | null | monologg/electra-small-finetuned-imdb | 16 | null | transformers | 9,265 | Entry not found |
monsoon-nlp/es-seq2seq-gender-encoder | d8a12212f0ccfa8dcf404581dc8008a2f3e8212c | 2021-05-20T00:09:54.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"es",
"transformers"
] | feature-extraction | false | monsoon-nlp | null | monsoon-nlp/es-seq2seq-gender-encoder | 16 | null | transformers | 9,266 | ---
language: es
---
# es-seq2seq-gender (encoder)
This is a seq2seq model (encoder half) to "flip" gender in Spanish sentences.
The model can augment your existing Spanish data, or generate counterfactuals
to test a model's decisions (would changing the gender of the subject or speaker change output?).
Intended Exa... |
mrm8488/RuPERTa-base-finetuned-pawsx-es | b59840d261245272f43bb0bd31e0bfd8ebec397f | 2021-05-20T18:07:14.000Z | [
"pytorch",
"jax",
"roberta",
"text-classification",
"es",
"dataset:xtreme",
"transformers",
"nli"
] | text-classification | false | mrm8488 | null | mrm8488/RuPERTa-base-finetuned-pawsx-es | 16 | null | transformers | 9,267 | ---
language: es
datasets:
- xtreme
tags:
- nli
widget:
- text: "En 2009 se mudó a Filadelfia y en la actualidad vive en Nueva York. Se mudó nuevamente a Filadelfia en 2009 y ahora vive en la ciudad de Nueva York."
---
# RuPERTa-base fine-tuned on PAWS-X-es for Paraphrase Identification (NLI)
|
mrm8488/distilbert-multi-finetuned-for-xqua-on-tydiqa | cac4cc86e68b6722812fa1627141489a5200cd87 | 2020-12-11T21:53:48.000Z | [
"pytorch",
"distilbert",
"question-answering",
"multilingual",
"transformers",
"autotrain_compatible"
] | question-answering | false | mrm8488 | null | mrm8488/distilbert-multi-finetuned-for-xqua-on-tydiqa | 16 | null | transformers | 9,268 | ---
language: multilingual
thumbnail:
---
# DistilBERT multilingual fine-tuned on TydiQA (GoldP task) dataset for multilingual Q&A 😛🌍❓
## Details of the language model
[distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased)
## Details of the Tydi QA dataset
TyDi QA conta... |
nielsr/nt5-small-rc1 | ae1396c04723ebcd8b79d6afa26ad0dafb539d7b | 2021-06-23T13:12:04.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"dataset:drop",
"arxiv:2104.07307",
"arxiv:1903.00161",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | nielsr | null | nielsr/nt5-small-rc1 | 16 | 2 | transformers | 9,269 | ---
license: apache-2.0
tags:
datasets:
- drop
---
# NT5, a T5 model trained to perform numerical reasoning
T5-small model pre-trained on 3 million (partly synthetic) texts and fine-tuned on [DROP](https://allennlp.org/drop.html). It was introduced in the paper [NT5?! Training T5 to Perform Numerical Reasoning](https... |
pandyaved98/DialoGPT-small-GameBot | b38c3f625929fa50376eacb56a58fd8b47a44c78 | 2021-12-08T12:24:11.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | pandyaved98 | null | pandyaved98/DialoGPT-small-GameBot | 16 | 1 | transformers | 9,270 | ---
tags:
- conversational
---
# GameBot DialoGPT Model |
patrickvonplaten/sew-d-small-100k-ft-timit-2 | 790713bed545055aefd2e019aae78be124634e4d | 2021-10-28T15:51:49.000Z | [
"pytorch",
"tensorboard",
"sew-d",
"automatic-speech-recognition",
"dataset:timit_asr",
"transformers",
"timit_asr",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/sew-d-small-100k-ft-timit-2 | 16 | null | transformers | 9,271 | ---
license: apache-2.0
tags:
- automatic-speech-recognition
- timit_asr
- generated_from_trainer
datasets:
- timit_asr
model-index:
- name: sew-d-small-100k-ft-timit-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pr... |
philschmid/DistilBERT-tweet-eval-emotion | 81d42a0995ce734938e70b5bc89c9a6ceafeea7f | 2021-10-07T13:19:01.000Z | [
"pytorch",
"distilbert",
"text-classification",
"en",
"dataset:tweet_eval",
"transformers",
"autonlp",
"model-index"
] | text-classification | false | philschmid | null | philschmid/DistilBERT-tweet-eval-emotion | 16 | null | transformers | 9,272 | ---
tags: autonlp
language: en
widget:
- text: "Worry is a down payment on a problem you may never have'. Joyce Meyer. #motivation #leadership #worry"
datasets:
- tweet_eval
model-index:
- name: DistilBERT-tweet-eval-emotion
results:
- task:
name: Sentiment Analysis
type: sentiment-analysis
datase... |
pitoneros/NER_LAW_MONEY4 | a7c86238646648d1ad60f8cefa1990db396ec494 | 2021-11-18T09:41:15.000Z | [
"pytorch",
"roberta",
"token-classification",
"es",
"dataset:our own",
"transformers",
"nli",
"autotrain_compatible"
] | token-classification | false | pitoneros | null | pitoneros/NER_LAW_MONEY4 | 16 | 1 | transformers | 9,273 | ---
language: es
tags:
- token-classification
- nli
- pytorch
datasets:
- our own
pipeline_tag: token-classification
widget:
- text: "La recaudación del ministerio del interior fue de 20,000,000 euros así constatado por el artículo 24 de la Constitución Española."
---
|
prajwalcr/poetry-anger_gpt2 | 455367a2c3096608ff3d98c98993eed7003b8553 | 2021-05-29T17:48:12.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | prajwalcr | null | prajwalcr/poetry-anger_gpt2 | 16 | null | transformers | 9,274 | Entry not found |
projecte-aina/roberta-base-ca-cased-qa | 99f98610e34cd7a4fb1f6e5fe4420a87a96aae3b | 2022-02-24T08:38:41.000Z | [
"pytorch",
"roberta",
"question-answering",
"ca",
"dataset:xquad-ca",
"dataset:viquiquad",
"arxiv:1907.11692",
"transformers",
"catalan",
"qa",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | projecte-aina | null | projecte-aina/roberta-base-ca-cased-qa | 16 | null | transformers | 9,275 | ---
language:
- ca
license: apache-2.0
tags:
- "catalan"
- "qa"
datasets:
- "xquad-ca"
- "viquiquad"
metrics:
- "f1"
- "exact match"
widget:
- text: "Quan va començar el Super3?"
context: "El Super3 o Club Super3 és un univers infantil català creat a partir d'un programa emès per Televisió de Catalunya des del 1991... |
pucpr/clinicalnerpt-therapeutic | dfa6e3c265892615dd5a3051281a8ee4aceaae9b | 2021-10-13T09:31:33.000Z | [
"pytorch",
"bert",
"token-classification",
"pt",
"dataset:SemClinBr",
"transformers",
"autotrain_compatible"
] | token-classification | false | pucpr | null | pucpr/clinicalnerpt-therapeutic | 16 | 3 | transformers | 9,276 | ---
language: "pt"
widget:
- text: "Dispneia venoso central em subclavia D duplolumen recebendo solução salina e glicosada em BI."
- text: "Paciente com Sepse pulmonar em D8 tazocin (paciente não recebeu por 2 dias Atb)."
- text: "FOI REALIZADO CURSO DE ATB COM LEVOFLOXACINA POR 7 DIAS."
datasets:
- SemClinBr
thumbna... |
raykallen/cybert_apache_parser | 3a054b8530668f5c87a11e1547e579a5bfe30f47 | 2021-05-20T04:04:23.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | raykallen | null | raykallen/cybert_apache_parser | 16 | 1 | transformers | 9,277 | Entry not found |
saichandrapandraju/t5_large_tabqgen | 4356a31cc2cda59fb0c8feb306455f6bcf298d03 | 2021-06-19T02:50:02.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | saichandrapandraju | null | saichandrapandraju/t5_large_tabqgen | 16 | null | transformers | 9,278 | Entry not found |
savasy/offLangDetectionTurkish | 3c3b73bb82d72506c0dc2b17be25e778ddd6ba70 | 2021-05-20T04:59:03.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | savasy | null | savasy/offLangDetectionTurkish | 16 | null | transformers | 9,279 | Entry not found |
scales-okn/distilroberta-base-dtlm | 7b4cc4fa8281b77136d0c094198d7d4974cf55f6 | 2021-12-17T07:53:08.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | scales-okn | null | scales-okn/distilroberta-base-dtlm | 16 | null | transformers | 9,280 | Entry not found |
sebastian-hofstaetter/distilbert-cat-margin_mse-T2-msmarco | 697efdcabaddf913cc6d1d077c7ee3a9b5a94b50 | 2021-03-18T15:59:30.000Z | [
"pytorch",
"BERT_Cat",
"en",
"dataset:ms_marco",
"arxiv:2010.02666",
"transformers",
"re-ranking",
"passage-ranking",
"knowledge-distillation"
] | null | false | sebastian-hofstaetter | null | sebastian-hofstaetter/distilbert-cat-margin_mse-T2-msmarco | 16 | null | transformers | 9,281 | ---
language: "en"
tags:
- re-ranking
- passage-ranking
- knowledge-distillation
datasets:
- ms_marco
---
# Margin-MSE Trained DistilBERT-Cat (vanilla/mono/concatenated DistilBERT re-ranker)
We provide a retrieval trained DistilBERT-Cat model. Our model is trained with Margin-MSE using a 3 teacher BERT_Ca... |
serdarakyol/interpress-turkish-news-classification | df8f4a06cd502874c09aa9bdddadb29011c20f1e | 2022-03-10T16:06:33.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"tr",
"transformers"
] | text-classification | false | serdarakyol | null | serdarakyol/interpress-turkish-news-classification | 16 | 5 | transformers | 9,282 | ---
language: tr
Dataset: interpress_news_category_tr
---
# INTERPRESS NEWS CLASSIFICATION
## Dataset
The dataset downloaded from interpress. This dataset is real world data. Actually there are 273K data but I filtered them and used 108K data for this model. For more information about dataset please visit this [link](h... |
sontn122/xlm-roberta-large-finetuned-squad | 744edffad38fcbc3b9fe1945afa539c632e1eafc | 2021-09-04T08:01:37.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | sontn122 | null | sontn122/xlm-roberta-large-finetuned-squad | 16 | null | transformers | 9,283 | ---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: xlm-roberta-large-finetuned-squad
results:
- task:
name: Question Answering
type: question-answering
dataset:
name: squad
type: squad
args: default
---
<!-- This model card has been generated automatically a... |
speech-seq2seq/wav2vec2-2-bert-large | fb8656e477215bd17c1eaf4d2f8c8d5b36f6d646 | 2022-02-10T06:06:24.000Z | [
"pytorch",
"tensorboard",
"speech-encoder-decoder",
"automatic-speech-recognition",
"dataset:librispeech_asr",
"transformers",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | speech-seq2seq | null | speech-seq2seq/wav2vec2-2-bert-large | 16 | null | transformers | 9,284 | ---
tags:
- generated_from_trainer
datasets:
- librispeech_asr
model-index:
- name: ''
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. -->
#
This model was trained... |
speech-seq2seq/wav2vec2-2-gpt2-no-adapter | 57d3e693119ba2f492fff8eeb5d2a220b967e215 | 2022-02-22T02:47:55.000Z | [
"pytorch",
"tensorboard",
"speech-encoder-decoder",
"automatic-speech-recognition",
"dataset:librispeech_asr",
"transformers",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | speech-seq2seq | null | speech-seq2seq/wav2vec2-2-gpt2-no-adapter | 16 | null | transformers | 9,285 | ---
tags:
- generated_from_trainer
datasets:
- librispeech_asr
model-index:
- name: ''
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. -->
#
This model was trained... |
sshleifer/pegasus-cnn-ft-v2 | 06485f6a13e02fd0ee8093359657ff6717b533d8 | 2020-10-08T03:06:14.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"en",
"arxiv:1912.08777",
"transformers",
"summarization",
"autotrain_compatible"
] | summarization | false | sshleifer | null | sshleifer/pegasus-cnn-ft-v2 | 16 | null | transformers | 9,286 | ---
language: en
tags:
- summarization
---
### Pegasus Models
See Docs: [here](https://huggingface.co/transformers/master/model_doc/pegasus.html)
Original TF 1 code [here](https://github.com/google-research/pegasus)
Authors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019
Maintained by: [@... |
team-indain-image-caption/hindi-image-captioning | 51f72dcf46019ec5066a034a05a1456bf8ab3006 | 2021-11-24T11:22:42.000Z | [
"pytorch",
"vision-encoder-decoder",
"transformers"
] | null | false | team-indain-image-caption | null | team-indain-image-caption/hindi-image-captioning | 16 | 1 | transformers | 9,287 | # Hindi Image Captioning Model
This is an encoder-decoder image captioning model made with [VIT](https://huggingface.co/google/vit-base-patch16-224-in21k) encoder and [GPT2-Hindi](https://huggingface.co/surajp/gpt2-hindi) as a decoder. This is a first attempt at using ViT + GPT2-Hindi for image captioning task. We use... |
textattack/xlnet-large-cased-MRPC | 7b61e8e8eeac1a8ab4c5af7e7d5e2e395b66cc3a | 2020-06-09T16:58:10.000Z | [
"pytorch",
"xlnet",
"text-classification",
"transformers"
] | text-classification | false | textattack | null | textattack/xlnet-large-cased-MRPC | 16 | null | transformers | 9,288 | Entry not found |
vesteinn/XLMR-ENIS-finetuned-sst2 | cb57a4962c52909baa947fa66954aec58c6f58e8 | 2022-03-14T23:08:35.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:agpl-3.0",
"model-index"
] | text-classification | false | vesteinn | null | vesteinn/XLMR-ENIS-finetuned-sst2 | 16 | null | transformers | 9,289 | ---
license: agpl-3.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: XLMR-ENIS-finetuned-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- name: Accuracy
... |
w11wo/javanese-bert-small-imdb-classifier | be4ff1f4cfbb3a1bee379ad8d1d4a0c873ae8e53 | 2022-02-14T16:19:28.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"jv",
"dataset:w11wo/imdb-javanese",
"arxiv:1810.04805",
"transformers",
"javanese-bert-small-imdb-classifier",
"license:mit"
] | text-classification | false | w11wo | null | w11wo/javanese-bert-small-imdb-classifier | 16 | null | transformers | 9,290 | ---
language: jv
tags:
- javanese-bert-small-imdb-classifier
license: mit
datasets:
- w11wo/imdb-javanese
widget:
- text: "Dhuh Gusti, film iki elek banget. Aku getun ndelok !!!"
---
## Javanese BERT Small IMDB Classifier
Javanese BERT Small IMDB Classifier is a movie-classification model based on the [BERT model](htt... |
yoshitomo-matsubara/bert-large-uncased-wnli | 3835ccde7aa5f8986ed662b726b945ff0068c912 | 2021-05-29T21:34:53.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:wnli",
"transformers",
"wnli",
"glue",
"torchdistill",
"license:apache-2.0"
] | text-classification | false | yoshitomo-matsubara | null | yoshitomo-matsubara/bert-large-uncased-wnli | 16 | null | transformers | 9,291 | ---
language: en
tags:
- bert
- wnli
- glue
- torchdistill
license: apache-2.0
datasets:
- wnli
metrics:
- accuracy
---
`bert-large-uncased` fine-tuned on WNLI dataset, using [***torchdistill***](https://github.com/yoshitomo-matsubara/torchdistill) and [Google Colab](https://colab.research.google.com/github/yoshitomo-... |
wietsedv/xlm-roberta-base-ft-udpos28-es | 767eeda7ccdc684597ac685602e2bc624834b9fb | 2022-02-25T09:58:20.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"es",
"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-es | 16 | null | transformers | 9,292 |
---
language:
- es
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-es
results:
- task:
type: token-classification
name: Part-of-Speech Tagging
datas... |
wietsedv/xlm-roberta-base-ft-udpos28-fa | f8c834d268564cc7b4810403931013402bf24249 | 2022-02-25T09:58:25.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"fa",
"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-fa | 16 | null | transformers | 9,293 |
---
language:
- fa
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-fa
results:
- task:
type: token-classification
name: Part-of-Speech Tagging
datas... |
wietsedv/xlm-roberta-base-ft-udpos28-ko | 21ee16f7a379214fbe87d39ce0269708d99a4707 | 2022-02-25T09:58:56.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"ko",
"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-ko | 16 | null | transformers | 9,294 |
---
language:
- ko
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-ko
results:
- task:
type: token-classification
name: Part-of-Speech Tagging
datas... |
nanopass/test-model-fe | aed20c9d93783063519639e9989f7a21f3be8fb8 | 2022-02-24T16:47:44.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity"
] | feature-extraction | false | nanopass | null | nanopass/test-model-fe | 16 | null | sentence-transformers | 9,295 | ---
pipeline_tag: feature-extraction
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# multi-qa-MiniLM-L6-cos-v1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and was designed for **semantic search**. ... |
mariagrandury/distilbert-base-uncased-finetuned-sms-spam-detection | 17ef47ff3092f9b4ae08e40c2fd22dd7b8c0706f | 2022-02-25T06:57:00.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:sms_spam",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | mariagrandury | null | mariagrandury/distilbert-base-uncased-finetuned-sms-spam-detection | 16 | null | transformers | 9,296 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- sms_spam
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-sms-spam-detection
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: sms_spam
type: sms_spam
args... |
chitanda/merit-deberta-v2-xxlarge-v1 | 30f7a385547961ec629af4e291fc7614569e6cfd | 2022-02-26T08:02:57.000Z | [
"pytorch",
"deberta-v2",
"transformers",
"license:mit"
] | null | false | chitanda | null | chitanda/merit-deberta-v2-xxlarge-v1 | 16 | null | transformers | 9,297 | ---
license: mit
---
|
ghadeermobasher/Model_col-mod | 4580f51df98e7f1e193e41c4056e7491f9d25749 | 2022-03-01T23:12:11.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/Model_col-mod | 16 | null | transformers | 9,298 | Entry not found |
ghadeermobasher/BC4-modified-PubmedBert | 23a9a1f21700e73f04c1a2963a699d4c286d48c2 | 2022-03-03T02:44:39.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4-modified-PubmedBert | 16 | null | transformers | 9,299 | Entry not found |
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