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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ncduy/bert-base-cased-finetuned-emotion | 365b205f05d81e52aa139dfc9e5da84d8146e05d | 2021-12-09T10:30:48.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | ncduy | null | ncduy/bert-base-cased-finetuned-emotion | 10 | 1 | transformers | 11,700 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- f1
model-index:
- name: bert-base-cased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
-... |
nepp1d0/Bert-pretrained-proteinBindingDB | ddc5215e99986e8b00bd32a5d30808bd7e938693 | 2022-02-04T16:12:07.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | nepp1d0 | null | nepp1d0/Bert-pretrained-proteinBindingDB | 10 | null | transformers | 11,701 | Entry not found |
nielsr/canine-s | 09f9a6e82343ab8a7bb471bd4c826429c7233bb7 | 2021-06-05T09:33:04.000Z | [
"pytorch",
"canine",
"feature-extraction",
"transformers"
] | feature-extraction | false | nielsr | null | nielsr/canine-s | 10 | null | transformers | 11,702 | Entry not found |
nielsr/detr-resnet-50-new | 8054ee0bd98b101ef18c36d06594cc416d89e198 | 2021-02-09T10:27:09.000Z | [
"pytorch",
"detr",
"object-detection",
"transformers"
] | object-detection | false | nielsr | null | nielsr/detr-resnet-50-new | 10 | null | transformers | 11,703 | Entry not found |
ontocord/mt5-fix-asr-vietnamese | 2a54621c5632eaa2a08d51c7714da756d55cbc6e | 2021-06-23T15:21:52.000Z | [
"pytorch",
"jax",
"mt5",
"vi",
"transformers",
"language-modeling",
"audio",
"automatic-speech-recognition",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ontocord | null | ontocord/mt5-fix-asr-vietnamese | 10 | null | transformers | 11,704 | ---
language: vi
datasets:
- common_voice
- FOSD: https://data.mendeley.com/datasets/k9sxg2twv4/4
metrics:
- wer
tags:
- language-modeling
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: MT5 Fix Asr Vietnamese by Ontocord
results:
- task:
name:... |
osanseviero/t5-finetuned-test | 66b207574c9e37d515e82cc73430f2ce5d88f685 | 2021-06-23T13:12:41.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"eng",
"dataset:Wikihow",
"transformers",
"wikihow",
"t5-small",
"lm-head",
"seq2seq",
"pipeline:summarization",
"summarization",
"autotrain_compatible"
] | summarization | false | osanseviero | null | osanseviero/t5-finetuned-test | 10 | null | transformers | 11,705 | ---
language: "eng"
tags:
- wikihow
- t5-small
- pytorch
- lm-head
- seq2seq
- t5
- pipeline:summarization
- summarization
datasets:
- Wikihow
widget:
- max_length: 1
- text: "Lack of fluids can lead to dry mouth, which is a leading cause of bad breath. Water
can also dilute any chemicals in your mouth or gut that are... |
pablouribe/bertstem-copus-supercategories-overfitted | 759657722af472135e42caa6c2babecb974b140e | 2022-01-18T05:35:17.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | pablouribe | null | pablouribe/bertstem-copus-supercategories-overfitted | 10 | null | transformers | 11,706 | Entry not found |
patrickvonplaten/unispeech-sat-large-timit-ft | db46bdc038d97381a0f4de80bd1c8188750268ee | 2021-10-21T16:38:43.000Z | [
"pytorch",
"tensorboard",
"unispeech-sat",
"automatic-speech-recognition",
"dataset:timit_asr",
"transformers",
"timit_asr",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/unispeech-sat-large-timit-ft | 10 | null | transformers | 11,707 | ---
tags:
- automatic-speech-recognition
- timit_asr
- generated_from_trainer
datasets:
- timit_asr
model-index:
- name: unispeech-sat-large-timit-ft
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... |
patrickvonplaten/wav2vec2-base-repro-960h-libri-85k-steps | 36f90d6c4e4c35af8234605c4a145f92817813a7 | 2021-10-25T13:15:45.000Z | [
"pytorch",
"wav2vec2",
"pretraining",
"transformers"
] | null | false | patrickvonplaten | null | patrickvonplaten/wav2vec2-base-repro-960h-libri-85k-steps | 10 | null | transformers | 11,708 | https://wandb.ai/patrickvonplaten/test/reports/Wav2Vec2-Base--VmlldzoxMTUyODQ0?accessToken=rg6e8u9yizx964k8q47zctq1m4afpvtn1i3qi9exgdmzip6xwkfzvagfajpzj55n |
pdroberts/distilbert-base-uncased-finetuned-emotion | 8f4a96f6a7f98d626c9417f22618ef5db64c2782 | 2022-02-01T23:48:03.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | pdroberts | null | pdroberts/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,709 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then r... |
pere/norwegian-roberta-base-highlr-512 | 74ab4706350b50b1a5db1fac888d5771b73aec73 | 2021-11-25T17:54:31.000Z | [
"pytorch",
"jax",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | pere | null | pere/norwegian-roberta-base-highlr-512 | 10 | null | transformers | 11,710 | Same as norwegian-roberta-base but with higher learning rate and batch size |
persiannlp/mt5-small-parsinlu-multiple-choice | 3a03b0eea4e84e42a23490bb1f8a23d1a5af3371 | 2021-09-23T16:20:33.000Z | [
"pytorch",
"t5",
"text2text-generation",
"fa",
"multilingual",
"dataset:parsinlu",
"transformers",
"multiple-choice",
"mt5",
"persian",
"farsi",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible"
] | text2text-generation | false | persiannlp | null | persiannlp/mt5-small-parsinlu-multiple-choice | 10 | null | transformers | 11,711 | ---
language:
- fa
- multilingual
thumbnail: https://upload.wikimedia.org/wikipedia/commons/a/a2/Farsi.svg
tags:
- multiple-choice
- mt5
- persian
- farsi
license: cc-by-nc-sa-4.0
datasets:
- parsinlu
metrics:
- accuracy
---
# Multiple-Choice Question Answering (مدل برای پاسخ به سوالات چهار جوابی)
This is a mT5-based... |
philschmid/finbert-pretrain-yiyanghkust | 90f3550f37ab0a2da55c43fce5b63b5d55b7c5f9 | 2021-11-05T14:00:02.000Z | [
"pytorch",
"tf",
"bert",
"fill-mask",
"en",
"arxiv:2006.08097",
"transformers",
"autotrain_compatible"
] | fill-mask | false | philschmid | null | philschmid/finbert-pretrain-yiyanghkust | 10 | 1 | transformers | 11,712 | ---
pipeline_tag: "fill-mask"
language: en
---
# This repository is a fork of [yiyanghkust/finbert-pretrain](https://huggingface.co/yiyanghkust/finbert-pretrain)
> All credits to [@yiyanghkust](https://huggingface.co/yiyanghkust).
I added the TensorFlow model and a proper `tokenizer.json`
---
`FinBERT` is a BERT ... |
princeton-nlp/densephrases-multi-query-nq | 2b1f0008d31379ca6ea832b37da9d773229a5093 | 2021-09-20T17:41:23.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | princeton-nlp | null | princeton-nlp/densephrases-multi-query-nq | 10 | null | transformers | 11,713 | Entry not found |
pszemraj/distill-pegasus-CompMath | 7cc022e75db6b0242206d68683f8f4228ca62ae0 | 2022-02-06T16:43:06.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"en",
"dataset:competition_math",
"transformers",
"math",
"autotrain_compatible"
] | text2text-generation | false | pszemraj | null | pszemraj/distill-pegasus-CompMath | 10 | null | transformers | 11,714 | ---
language: en
tags:
- math
- pegasus
datasets:
- competition_math
metrics:
- rouge
widget:
- text: "Michael scores a 95, 87, 85, 93, and a 94 on his first 5 math tests. If he wants a 90 average, what must he score on the final math test?"
example_title: "averaging"
- text: "If the sum of the smallest and largest ... |
ramybaly/ner_nerd_fine | 3b874114caefa4d18ef8dc0bb7cd959fb8e452f0 | 2021-08-20T19:01:06.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:nerd",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | ramybaly | null | ramybaly/ner_nerd_fine | 10 | null | transformers | 11,715 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- nerd
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: ner_nerd_fine
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: nerd
type: nerd
args: nerd
metric:
... |
rayschwartz/text-classification | 9eee493bab175680150af66643c4d19c215e6ade | 2021-10-14T12:56:13.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | rayschwartz | null | rayschwartz/text-classification | 10 | null | transformers | 11,716 | Entry not found |
reatiny/distilbert-base-uncased-finetuned-emotion | e2917d8975c79a4b5cb4055cf95430432d07f643 | 2022-02-14T07:44:51.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | reatiny | null | reatiny/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,717 | ---
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... |
reichenbach/wav2vec2-large-xls-r-300m-pa-in | c4767f1897b2e428cbc919438617aa89ae7b4bb1 | 2022-03-23T18:28:40.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"pa",
"pa-IN",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | reichenbach | null | reichenbach/wav2vec2-large-xls-r-300m-pa-in | 10 | null | transformers | 11,718 | ---
license: apache-2.0
language:
- pa
- pa-IN
tags:
- generated_from_trainer
- hf-asr-leaderboard
- robust-speech-event
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-pa-in
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had acc... |
saattrupdan/xlmr-base-texas-squad-de | 0d72dfa7c2d6f7dea1f67c85035f8e34089b36b1 | 2022-01-31T21:31:12.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | saattrupdan | null | saattrupdan/xlmr-base-texas-squad-de | 10 | null | transformers | 11,719 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlmr-base-texas-squad-de
results: []
widget:
- text: "Welche Ausbildung hatte Angela Merkel?"
context: "Angela Dorothea Merkel (geb. Kasner; * 17. Juli 1954 in Hamburg) ist eine deutsche Politikerin (CDU). Sie war vom 22. November 2005 bis zum 8. ... |
sail/poolformer_s36 | 1d740b215d07f480fa51efa16df83a63d5f6acf2 | 2022-04-08T07:48:39.000Z | [
"pytorch",
"poolformer",
"image-classification",
"dataset:imagenet",
"arxiv:2111.11418",
"transformers",
"vision",
"license:apache-2.0"
] | image-classification | false | sail | null | sail/poolformer_s36 | 10 | null | transformers | 11,720 | ---
license: apache-2.0
tags:
- image-classification
- vision
datasets:
- imagenet
---
# PoolFormer (S36 model)
PoolFormer model trained on ImageNet-1k (1 million images, 1,000 classes) at resolution 224x224. It was first introduced in the paper [MetaFormer is Actually What You Need for Vision](https://arxiv.org/abs/... |
sankhajay/bert-base-sinhala-qa | 168c5199a4e5ba0e47bfcc8e5039b7b46d7328cf | 2021-08-19T01:22:08.000Z | [
"pytorch",
"bert",
"question-answering",
"si",
"transformers",
"Sinhala",
"autotrain_compatible"
] | question-answering | false | sankhajay | null | sankhajay/bert-base-sinhala-qa | 10 | 1 | transformers | 11,721 | \n
---
language: si
tags:
- Sinhala
widget:
- context: "ශ්රී ලංකාව යනු ඉන්දියානු සාගරයේ පිහිටි මනරම් දුපතකි."
text: "ශ්රී ලංකාව පිහිටා ඇත්තේ කොහෙද ?"
---
# bert-base-sinhala-qa
This is a Bert-based Question Answering model for the Sinhalese language. Training is done on translated SQuAD dataset of 8k ques... |
satyaalmasian/temporal_tagger_BERTCRF_tokenclassifier | ca4804f63efc8aa3598aff6015ba1d79d6c8c51e | 2021-09-21T11:30:36.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | satyaalmasian | null | satyaalmasian/temporal_tagger_BERTCRF_tokenclassifier | 10 | null | transformers | 11,722 | # BERT based temporal tagged
Token classifier for temporal tagging of plain text using BERT language model and CRFs. The model is introduced in the paper BERT got a Date: Introducing Transformers to Temporal Tagging and release in this [repository](https://github.com/satya77/Transformer_Temporal_Tagger).
# Model des... |
satyaalmasian/temporal_tagger_German_GELECTRA | a523f786c63a5c0542e04d22f4b42364f33ec935 | 2022-02-10T15:23:51.000Z | [
"pytorch",
"electra",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | satyaalmasian | null | satyaalmasian/temporal_tagger_German_GELECTRA | 10 | 1 | transformers | 11,723 | # BERT based temporal tagged
Token classifier for temporal tagging of plain text using German Gelectra model.
# Model description
GELECTRA is a transformer (ELECTRA) model pretrained on a large corpus of German data in a self-supervised fashion. We use GELECTRA for token classification to tag the tokens in text with... |
sentence-transformers/xlm-r-bert-base-nli-mean-tokens | 869d294b8c105b4d423e24d4012603adad3ca01d | 2022-06-16T00:42:16.000Z | [
"pytorch",
"tf",
"xlm-roberta",
"feature-extraction",
"arxiv:1908.10084",
"sentence-transformers",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | false | sentence-transformers | null | sentence-transformers/xlm-r-bert-base-nli-mean-tokens | 10 | null | sentence-transformers | 11,724 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
**⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net... |
sgugger/test-ner | f339bcc4fe231c1b1065a911b02545cafab0825d | 2021-09-23T22:04:06.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | sgugger | null | sgugger/test-ner | 10 | null | transformers | 11,725 | Entry not found |
shiyue/roberta-large-realsumm | 5c925fdcfb3c50916b857e2330b7e27b6a78cac5 | 2021-09-22T02:45:08.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | shiyue | null | shiyue/roberta-large-realsumm | 10 | null | transformers | 11,726 | Entry not found |
sismetanin/mbart_ru_sum_gazeta-ru-sentiment-rusentiment | c5c976d2a946e0b57ba2f0014f140b58c12f21ce | 2021-02-25T23:56:23.000Z | [
"pytorch",
"mbart",
"text-classification",
"ru",
"transformers",
"sentiment analysis",
"Russian"
] | text-classification | false | sismetanin | null | sismetanin/mbart_ru_sum_gazeta-ru-sentiment-rusentiment | 10 | null | transformers | 11,727 | ---
language:
- ru
tags:
- sentiment analysis
- Russian
---
## MBARTRuSumGazeta-ru-sentiment-RuSentiment
MBARTRuSumGazeta-ru-sentiment-RuSentiment is a [MBARTRuSumGazeta](https://huggingface.co/IlyaGusev/mbart_ru_sum_gazeta) model fine-tuned on [RuSentiment dataset](https://github.com/text-machine-lab/rusentiment) o... |
sosuke/ease-xlm-roberta-base | c0b425e9a56764444d02eeb04f95b990d07196a0 | 2021-12-14T07:22:36.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | sosuke | null | sosuke/ease-xlm-roberta-base | 10 | null | transformers | 11,728 | Entry not found |
spasis/bert-finetuned-ner | eed8347cf188b4247bee5a82cda0778133f72842 | 2022-02-22T13:23:17.000Z | [
"pytorch",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | spasis | null | spasis/bert-finetuned-ner | 10 | null | transformers | 11,729 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: c... |
staceythompson/autonlp-new-text-classification-38319698 | bb30e13fcbf7df17f6ae79433f1763e9cb895799 | 2021-12-03T14:06:55.000Z | [
"pytorch",
"distilbert",
"text-classification",
"unk",
"dataset:staceythompson/autonlp-data-new-text-classification",
"transformers",
"autonlp",
"co2_eq_emissions"
] | text-classification | false | staceythompson | null | staceythompson/autonlp-new-text-classification-38319698 | 10 | null | transformers | 11,730 | ---
tags: autonlp
language: unk
widget:
- text: "I love AutoNLP 🤗"
datasets:
- staceythompson/autonlp-data-new-text-classification
co2_eq_emissions: 2.0318857468309206
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 38319698
- CO2 Emissions (in grams): 2.0318857468309206
## ... |
stefan-it/electra-base-gc4-64k-900000-cased-generator | 3013aa3f303895fa078b3a64b06b17e6c333670f | 2021-05-01T11:24:01.000Z | [
"pytorch",
"tf",
"electra",
"fill-mask",
"de",
"dataset:german-nlp-group/german_common_crawl",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | stefan-it | null | stefan-it/electra-base-gc4-64k-900000-cased-generator | 10 | null | transformers | 11,731 | ---
language: de
license: mit
datasets:
- german-nlp-group/german_common_crawl
widget:
- text: "Heute ist ein [MASK] Tag"
---
# GC4LM: A Colossal (Biased) language model for German
This repository presents a colossal (and biased) language model for German trained on the recently released
["German colossal, clean Commo... |
sumedh/wav2vec2-large-xlsr-marathi | 3695aa23fc16ea305b6c0ac433937242de745669 | 2021-03-29T18:40:16.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"mr",
"dataset:openslr",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | sumedh | null | sumedh/wav2vec2-large-xlsr-marathi | 10 | null | transformers | 11,732 | ---
language: mr
datasets:
- openslr
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Large 53 Marathi by Sumedh Khodke
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dat... |
tanyagoyal/paraphrase-reap | c5e2a0b13d159f7ee64daae916082dd0cccb319b | 2021-08-31T22:49:07.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | tanyagoyal | null | tanyagoyal/paraphrase-reap | 10 | null | transformers | 11,733 | Entry not found |
tartuNLP/gpt-4-est-large | 1912427240d32f74c9bff76aae5c24b18cd4e10d | 2022-03-10T10:03:30.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"model-index"
] | text-generation | false | tartuNLP | null | tartuNLP/gpt-4-est-large | 10 | null | transformers | 11,734 | ---
tags:
- generated_from_trainer
model-index:
- name: gpt-4-est-large
results: []
widget:
- text: ">wiki< mis on GPT? Vastus:"
---
# gpt-4-est-large
This is GPT for Estonian. Not GPT-4 :-) This is the large-size [GPT2](https://huggingface.co/docs/transformers/model_doc/gpt2) model, trained from scratch on 2... |
tasosk/distilbert-base-uncased-airlines | d0574f79439b5c6353e8eba3ef4bbf319931b65b | 2021-12-18T19:25:39.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | tasosk | null | tasosk/distilbert-base-uncased-airlines | 10 | null | transformers | 11,735 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-airlines
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 remov... |
teleportHQ/predicto_css | f96ca3f673398ef7a599673cb0f4b2b6ca3a0627 | 2021-05-23T13:05:04.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | teleportHQ | null | teleportHQ/predicto_css | 10 | null | transformers | 11,736 | predicto css model
|
textattack/facebook-bart-large-SST-2 | 8a4baa9662afa056a97a2e9441ae665a06504979 | 2020-06-09T16:51:43.000Z | [
"pytorch",
"bart",
"text-classification",
"transformers"
] | text-classification | false | textattack | null | textattack/facebook-bart-large-SST-2 | 10 | null | transformers | 11,737 | Entry not found |
thatdramebaazguy/movie-roberta-MITmovie | 199439c92435c5b86c601d6fca08e8b5a0f3078b | 2022-07-01T18:25:52.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"token-classification",
"English",
"dataset:imdb",
"dataset:cornell_movie_dialogue",
"dataset:MIT Movie",
"transformers",
"roberta-base",
"NER",
"named-entities",
"BIO",
"movies",
"DAPT",
"license:cc-by-4.0",
"autotrain_compatible"
] | token-classification | false | thatdramebaazguy | null | thatdramebaazguy/movie-roberta-MITmovie | 10 | 1 | transformers | 11,738 | ---
datasets:
- imdb
- cornell_movie_dialogue
- MIT Movie
language:
- English
thumbnail:
tags:
- roberta
- roberta-base
- token-classification
- NER
- named-entities
- BIO
- movies
- DAPT
license: cc-by-4.0
---
# Movie Roberta + Movies NER Task
Objective:
This is Roberta Base + Movie DAPT --> trained for the... |
tiesan/distilbert-base-uncased-finetuned-emotion | f8cec2eec975c4e015376cfbddb237c8ad564e77 | 2022-07-28T10:08:37.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | tiesan | null | tiesan/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,739 | ---
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... |
trtd56/autonlp-wrime_joy_only-117396 | 6e73a0ac7e93a307077f9328dd842b22a29dc3f4 | 2021-05-20T08:07:48.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"ja",
"dataset:trtd56/autonlp-data-wrime_joy_only",
"transformers",
"autonlp"
] | text-classification | false | trtd56 | null | trtd56/autonlp-wrime_joy_only-117396 | 10 | 1 | transformers | 11,740 | ---
tags: autonlp
language: ja
widget:
- text: "I love AutoNLP 🤗"
datasets:
- trtd56/autonlp-data-wrime_joy_only
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 117396
## Validation Metrics
- Loss: 0.4094310998916626
- Accuracy: 0.8201678240740741
- Precision: 0.6750303520841765... |
tuanle/VN-News-GPT2 | e24e74bf4b65390b59bdca6758fdf7985abc551e | 2022-03-09T19:38:04.000Z | [
"pytorch",
"gpt2",
"text-generation",
"vi",
"dataset:Private Vietnamese News dataset",
"transformers",
"News",
"Language model",
"GPT2"
] | text-generation | false | tuanle | null | tuanle/VN-News-GPT2 | 10 | null | transformers | 11,741 | ---
language:
- vi
thumbnail: "url to a thumbnail used in social sharing"
tags:
- News
- Language model
- GPT2
datasets:
- Private Vietnamese News dataset
metrics:
- rouge
- wer
---
# GPT-2 Fine-tuning With Vietnamese News
## Model description
A Fine-tuned Vietnamese GPT2 model which can generate Vietnamese news ... |
tyoyo/t5-base-TEDxJP-6body-0context | 00ceb227d44b6a6e25b9078e05f992a3e258fd6d | 2021-12-01T08:45:15.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | tyoyo | null | tyoyo/t5-base-TEDxJP-6body-0context | 10 | null | transformers | 11,742 | Entry not found |
uclanlp/plbart-multi_task-compiled | df4571a229caa665e6e01ba5bf2325d98e241f1d | 2022-03-02T07:37:22.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-multi_task-compiled | 10 | null | transformers | 11,743 | Entry not found |
vera-pro/bert-mention-de | 9fe1cb431a6e23c1049e185fed47373a17035b72 | 2021-05-20T08:53:09.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | vera-pro | null | vera-pro/bert-mention-de | 10 | null | transformers | 11,744 | Entry not found |
vesteinn/german-icelandic-translation | 62bcad9c121fffa2373af3c1936df22a0a6d308c | 2021-11-26T15:24:14.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"is",
"transformers",
"translation",
"autotrain_compatible"
] | translation | false | vesteinn | null | vesteinn/german-icelandic-translation | 10 | null | transformers | 11,745 | ---
language:
- de
- is
tags:
- translation
---
# Student project - temporary upload |
x-tech/mt5-translate-yue-zh | aea3f768da9d11b711709dd202d606cdeac56efe | 2022-06-04T09:32:04.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"yue",
"zh",
"dataset:x-tech/cantonese-mandarin-translations",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | x-tech | null | x-tech/mt5-translate-yue-zh | 10 | null | transformers | 11,746 | ---
language:
- yue
- zh
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: output
results: []
datasets:
- x-tech/cantonese-mandarin-translations
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and co... |
yorko/scibert_scivocab_uncased_long_4096 | 51c6fab3d212a57c01d3cf730b6f3f8476a6507b | 2021-06-18T13:41:31.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | yorko | null | yorko/scibert_scivocab_uncased_long_4096 | 10 | 2 | transformers | 11,747 | # SciBERT Longformer
This is a Lonformer version of the [SciBERT uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) model by Allen AI. The model is slower than SciBERT (~2.5x in my benchmarks) but can allow for 8x wider `max_seq_length` (4096 vs. 512) which is handy in case of working with long texts, e... |
wietsedv/xlm-roberta-base-ft-udpos28-id | d672796ec1a6109dfdd0651d83e2ff284b6a3aec | 2022-02-25T09:58:50.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"id",
"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-id | 10 | null | transformers | 11,748 |
---
language:
- id
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-id
results:
- task:
type: token-classification
name: Part-of-Speech Tagging
datas... |
Brian-M-Collins/Twitter-Abstract-Summary | a76e5dc8275d69464658300b31bf1562b8b6cf8d | 2022-02-25T06:40:53.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Brian-M-Collins | null | Brian-M-Collins/Twitter-Abstract-Summary | 10 | 1 | transformers | 11,749 | ��h e l l o
|
ghadeermobasher/BC5CDR-Disease-Modified_bluebert_pubmed_uncased_L-12_H-768_A-12_latest | ae14859b968b95ca53a7754ff0c85c50ca980de3 | 2022-02-25T15:36:45.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Disease-Modified_bluebert_pubmed_uncased_L-12_H-768_A-12_latest | 10 | null | transformers | 11,750 | Entry not found |
nsi319/bigbird-roberta-base-finetuned-app | d56606efa7df136d57cf9ac4f866899874fd7dbc | 2022-02-27T10:53:05.000Z | [
"pytorch",
"big_bird",
"text-classification",
"en",
"transformers",
"mobile app descriptions",
"playstore",
"license:mit"
] | text-classification | false | nsi319 | null | nsi319/bigbird-roberta-base-finetuned-app | 10 | null | transformers | 11,751 | ---
language: "en"
thumbnail: "https://huggingface.co/nsi319"
tags:
- big_bird
- pytorch
- text-classification
- mobile app descriptions
- playstore
license: "mit"
inference: true
---
# Mobile App Classification
## Model description
BigBird, is a sparse-attention based transformer which extends Transformer based mod... |
batterydata/batteryonlybert-cased-squad-v1 | a5fb832883f2dd06b310c0d987dc03461f0c2243 | 2022-03-03T20:25:04.000Z | [
"pytorch",
"bert",
"question-answering",
"en",
"dataset:squad",
"dataset:batterydata/battery-device-data-qa",
"transformers",
"question answering",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | batterydata | null | batterydata/batteryonlybert-cased-squad-v1 | 10 | null | transformers | 11,752 | ---
language: en
tags: question answering
license: apache-2.0
datasets:
- squad
- batterydata/battery-device-data-qa
metrics: squad
---
# BatteryOnlyBERT-cased for QA
**Language model:** batteryonlybert-cased
**Language:** English
**Downstream-task:** Extractive QA
**Training data:** SQuAD v1
**Ev... |
giggio/Far50BrBERT-base | ae7c2ecb762d0a7fbba600812235e6df37417955 | 2022-03-07T05:24:15.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | giggio | null | giggio/Far50BrBERT-base | 10 | null | transformers | 11,753 | Entry not found |
mrm8488/spanish-TinyBERT-betito-finetuned-mnli | ff2473ffe8ec3f6b850dcfb9f73406125fcca55c | 2022-03-07T16:39:16.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | mrm8488 | null | mrm8488/spanish-TinyBERT-betito-finetuned-mnli | 10 | null | transformers | 11,754 | Entry not found |
FinScience/FS-distilroberta-fine-tuned | 559b00d987b698b4922d7c7a8174b29072c97e0b | 2022-03-07T17:17:48.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"transformers"
] | text-classification | false | FinScience | null | FinScience/FS-distilroberta-fine-tuned | 10 | 1 | transformers | 11,755 | ---
language:
- en
---
# FS-distilroberta-fine-tuned
The model was obtained by fine-tuning "mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis" model for sentiment analysis on financial news gathered by FinScience software. It predicts the sentiment of news with one label ("negative", "neutral" or "po... |
ebrigham/EYY-Topic-Classification | d2e1d3f8534ae1c0c88a95f627faa41361826ca4 | 2022-03-13T19:20:44.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | ebrigham | null | ebrigham/EYY-Topic-Classification | 10 | 1 | transformers | 11,756 | Entry not found |
KoichiYasuoka/roberta-base-ukrainian-upos | 53064702793301da93896c3a100868d04e68b25b | 2022-05-07T13:34:10.000Z | [
"pytorch",
"roberta",
"token-classification",
"uk",
"dataset:universal_dependencies",
"dataset:ukr-models/Ukr-Synth",
"transformers",
"ukrainian",
"pos",
"ubertext",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/roberta-base-ukrainian-upos | 10 | 1 | transformers | 11,757 | ---
language:
- "uk"
tags:
- "ukrainian"
- "token-classification"
- "pos"
- "ubertext"
- "dependency-parsing"
datasets:
- "universal_dependencies"
- "ukr-models/Ukr-Synth"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
widget:
- text: "Свобода і незалежність – найголовніші умови успіху і процвітання."
---... |
momo/MOTOD_pre_trained | adb7fe7cd44c155cca7eef92a744184a1eae375d | 2022-03-10T07:29:29.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"license:apache-2.0"
] | text-generation | false | momo | null | momo/MOTOD_pre_trained | 10 | null | transformers | 11,758 | ---
license: apache-2.0
---
|
amanm27/bert-base-uncased-sports-scouting | 50f78c3470cdbf922907b1fc6bd20a9f7effdf1b | 2022-03-10T07:12:38.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | amanm27 | null | amanm27/bert-base-uncased-sports-scouting | 10 | null | transformers | 11,759 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-sports-scouting
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. -->
# b... |
KoichiYasuoka/bert-large-german-upos | fb195ef67fc49d3805dfdeb30df81e6cfcf208d9 | 2022-03-11T03:06:12.000Z | [
"pytorch",
"bert",
"token-classification",
"de",
"dataset:universal_dependencies",
"transformers",
"german",
"pos",
"dependency-parsing",
"license:mit",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/bert-large-german-upos | 10 | null | transformers | 11,760 | ---
language:
- "de"
tags:
- "german"
- "token-classification"
- "pos"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "mit"
pipeline_tag: "token-classification"
---
# bert-large-german-upos
## Model Description
This is a BERT model pre-trained with [UD_German-HDT](https://github.com/UniversalDe... |
StivenLancheros/Biobert-base-cased-v1.2-finetuned-ner-CRAFT | f3a7371011946f72450a249ded3ba546777860fe | 2022-03-12T11:49:50.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | StivenLancheros | null | StivenLancheros/Biobert-base-cased-v1.2-finetuned-ner-CRAFT | 10 | null | transformers | 11,761 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: Biobert-base-cased-v1.2-finetuned-ner-CRAFT
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it... |
anwesham/mbert_ur | 2ec0560c98840a510fe0a6ff784c7348686d8ff4 | 2022-03-13T07:46:01.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | anwesham | null | anwesham/mbert_ur | 10 | null | transformers | 11,762 | Entry not found |
ComCom/skt_kogpt2-base-v2 | a01a98c40194cd000722ab4ca05b73dfe82b0a91 | 2022-03-14T07:37:27.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"ko",
"transformers",
"license:cc-by-nc-sa-4.0"
] | text-generation | false | ComCom | null | ComCom/skt_kogpt2-base-v2 | 10 | null | transformers | 11,763 | ---
language: ko
tags:
- gpt2
license: cc-by-nc-sa-4.0
---
- This model forked from [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2).
- You can use this model in [Teachable-NLP](https://ainize.ai/teachable-nlp).
For more details: https://github.com/SKT-AI/KoGPT2
|
keerthisaran/distilbert-base-uncased-finetuned-emotion | 36f2573d50da3813be96cfff47dc5ab0bc019285 | 2022-04-10T21:58:34.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | keerthisaran | null | keerthisaran/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,764 | ---
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... |
StivenLancheros/biobert-base-cased-v1.2-finetuned-ner-CRAFT_English | e61d168f4ec22b35efb524023b80376753bf68e7 | 2022-03-14T23:42:29.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | StivenLancheros | null | StivenLancheros/biobert-base-cased-v1.2-finetuned-ner-CRAFT_English | 10 | null | transformers | 11,765 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: biobert-base-cased-v1.2-finetuned-ner-CRAFT_English
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and com... |
moralstories/roberta-large_action-context-consequence | e66732dfcac4f3a2b4e93e37812622a481624d9e | 2022-03-15T04:56:54.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"license:afl-3.0"
] | text-classification | false | moralstories | null | moralstories/roberta-large_action-context-consequence | 10 | null | transformers | 11,766 | ---
license: afl-3.0
---
|
moralstories/roberta-large_action-context | 3be98e34bcabde0d5312e00a71ca17fcb530edfd | 2022-03-15T17:29:14.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"license:afl-3.0"
] | text-classification | false | moralstories | null | moralstories/roberta-large_action-context | 10 | null | transformers | 11,767 | ---
license: afl-3.0
---
|
facebook/regnet-x-006 | 9655014cb4d6b4ac14c15e2d60b3ffd730e43d58 | 2022-06-28T15:41:44.000Z | [
"pytorch",
"tf",
"regnet",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2003.13678",
"transformers",
"vision",
"license:apache-2.0"
] | image-classification | false | facebook | null | facebook/regnet-x-006 | 10 | null | transformers | 11,768 | ---
license: apache-2.0
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: htt... |
l3cube-pune/marathi-gpt | 8735155f098e4921a47fa2d13cffe525d79c60d8 | 2022-06-15T12:37:55.000Z | [
"pytorch",
"gpt2",
"text-generation",
"mr",
"dataset:L3Cube-MahaCorpus",
"arxiv:2202.01159",
"transformers",
"license:cc-by-4.0"
] | text-generation | false | l3cube-pune | null | l3cube-pune/marathi-gpt | 10 | null | transformers | 11,769 | ---
license: cc-by-4.0
language: mr
datasets:
- L3Cube-MahaCorpus
---
## MahaGPT
MahaGPT is a Marathi GPT2 model. It is a GPT2 model pre-trained on L3Cube-MahaCorpus and other publicly available Marathi monolingual datasets.
[dataset link] (https://github.com/l3cube-pune/MarathiNLP)
More details on the dataset, mode... |
vpelloin/MEDIA_NLU_flaubert_uncased | 92113bf3bfa08897c81aeccaaff5c909291f8b12 | 2022-06-17T13:52:15.000Z | [
"pytorch",
"tensorboard",
"flaubert",
"token-classification",
"fr",
"transformers",
"bert",
"natural language understanding",
"NLU",
"spoken language understanding",
"SLU",
"understanding",
"MEDIA",
"autotrain_compatible"
] | token-classification | false | vpelloin | null | vpelloin/MEDIA_NLU_flaubert_uncased | 10 | null | transformers | 11,770 | ---
language: fr
pipeline_tag: "token-classification"
widget:
- text: "je voudrais réserver une chambre à paris pour demain et lundi"
- text: "d'accord pour l'hôtel à quatre vingt dix euros la nuit"
- text: "deux nuits s'il vous plait"
- text: "dans un hôtel avec piscine à marseille"
tags:
- bert
- flaubert
- natu... |
swetava/distilbert-base-uncased-finetuned-emotion | e2349cbd1a4da137f7c1d806e5db9c1d9d10e6cf | 2022-03-17T18:42:58.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | swetava | null | swetava/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,771 | ---
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... |
clapika2010/movies_predictions | 2aceb4e9a1b74b0f720a6beaab0025435e737bc9 | 2022-03-17T21:01:30.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | clapika2010 | null | clapika2010/movies_predictions | 10 | null | transformers | 11,772 | Entry not found |
brad1141/bert-finetuned-comp2 | 30e30e45129e71134c69804788a07eb9478cdec6 | 2022-03-18T16:39:56.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | brad1141 | null | brad1141/bert-finetuned-comp2 | 10 | null | transformers | 11,773 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-comp2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... |
madhav16/finetuning-sentiment-model-3000-samples | 0393184fa167316593bed25e1d7998f748aeb198 | 2022-03-19T20:26:25.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | madhav16 | null | madhav16/finetuning-sentiment-model-3000-samples | 10 | null | transformers | 11,774 | ---
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... |
pere/test-t5-small | 40852f0fcd7ccc23a4b514126dc96548831a44b8 | 2022-03-23T20:39:40.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"en",
"fr",
"ro",
"de",
"dataset:c4",
"transformers",
"summarization",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | pere | null | pere/test-t5-small | 10 | null | transformers | 11,775 | ---
language:
- en
- fr
- ro
- de
datasets:
- c4
tags:
- summarization
- translation
license: apache-2.0
---
## Test T5 small conversion
This is a test repo for the conversion of T5X to HuggingFace Flax.
The current model is first converted from MTF to T5X using the conversion script included in the T5X library:
... |
Daniele/italian-spellchecker | 36d3a1ef5b79065d45697356d788e21d8f924e6f | 2022-03-23T10:19:19.000Z | [
"pytorch",
"t5",
"text2text-generation",
"it",
"transformers",
"seq2seq",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | Daniele | null | Daniele/italian-spellchecker | 10 | null | transformers | 11,776 | ---
language:
- it
tags:
- seq2seq
license: mit
---
# Italian Contextual Spellchecker
The model is a fine-tuned version of [IT5](https://huggingface.co/models?search=it5)[1], specifically modelled for computing a spellchecking in the shape of a sequence-to-sequence task.
### USAGE
The input sequence sho... |
elihoole/distilgpt2-ttds | dce0970a45cc8af90c51883d7d299fc42f37a49a | 2022-03-22T19:41:05.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | elihoole | null | elihoole/distilgpt2-ttds | 10 | null | transformers | 11,777 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-ttds
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. -->
# distilgpt2-ttds
Th... |
blckwdw61/sysformver1 | ac87341c901933fe588f0b7fa21f8faf24d795f7 | 2022-03-22T19:46:14.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | blckwdw61 | null | blckwdw61/sysformver1 | 10 | null | transformers | 11,778 | # CES BERT sysform model
Fine-tuned BERT cased model |
krishnayogik/distilbert-base-uncased-finetuned-emotion | cad6e5ad919a0aa6c1100d377a39d8f659afa1ef | 2022-03-23T07:27:09.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | krishnayogik | null | krishnayogik/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,779 | ---
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... |
Helsinki-NLP/opus-mt-tc-base-uk-hu | 318e13e415ffc255e7fdfce3d4236b7fa26f0a25 | 2022-06-01T13:10:31.000Z | [
"pytorch",
"marian",
"text2text-generation",
"hu",
"uk",
"transformers",
"translation",
"opus-mt-tc",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tc-base-uk-hu | 10 | null | transformers | 11,780 | ---
language:
- hu
- uk
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-base-uk-hu
results:
- task:
name: Translation ukr-hun
type: translation
args: ukr-hun
dataset:
name: flores101-devtest
type: flores_101
args: ukr hun devtest
metric... |
Luttufuttu/finetuning-sentiment-model-3000-samples | 7ec96eada69b56c0bbc7d0f41ccc415ce2858dd3 | 2022-03-24T12:59:25.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Luttufuttu | null | Luttufuttu/finetuning-sentiment-model-3000-samples | 10 | null | transformers | 11,781 | ---
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... |
Yaxin/electra-base-discriminator-yelp-mlm | 4ef0aed468011842c8669f1b7d39ab05b7bbe3a2 | 2022-03-24T14:22:12.000Z | [
"pytorch",
"electra",
"fill-mask",
"dataset:yelp_review_full",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Yaxin | null | Yaxin/electra-base-discriminator-yelp-mlm | 10 | null | transformers | 11,782 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- yelp_review_full
metrics:
- accuracy
model-index:
- name: electra-base-discriminator-yelp-mlm
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: yelp_review_full yelp_review_full
type: yelp_rev... |
hamedkhaledi/persain-flair-upos | d663c4703df738fff7ce2a5872898da9ebf6f30a | 2022-04-03T22:15:00.000Z | [
"pytorch",
"fa",
"dataset:ontonotes",
"flair",
"token-classification",
"sequence-tagger-model"
] | token-classification | false | hamedkhaledi | null | hamedkhaledi/persain-flair-upos | 10 | null | flair | 11,783 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language:
- fa
datasets:
- ontonotes
widget:
- text: "مقامات مصری به خاطر حفظ ثبات کشور در منطقهای پرآشوب بر خود میبالند ، در حالی که این کشور در طول ۱۶ سال گذشته تنها هشت سال آنرا بدون اعلام وضعیت اضطراری سپری کرده است ."
---
## Persian Universal Part... |
fav-kky/wav2vec2-base-cs-80k-ClTRUS | 824c86dce591f53311dae92a2c8a4dd57cc1b02e | 2022-06-20T14:27:49.000Z | [
"pytorch",
"wav2vec2",
"pretraining",
"cs",
"arxiv:2206.07627",
"arxiv:2206.07666",
"transformers",
"Czech",
"KKY",
"FAV",
"license:cc-by-nc-sa-4.0"
] | null | false | fav-kky | null | fav-kky/wav2vec2-base-cs-80k-ClTRUS | 10 | 1 | transformers | 11,784 | ---
language: "cs"
tags:
- Czech
- KKY
- FAV
license: "cc-by-nc-sa-4.0"
---
# wav2vec2-base-cs-80k-ClTRUS
**C**zech **l**anguage **TR**ransformer from **U**nlabeled **S**peech (ClTRUS) is a monolingual Czech Wav2Vec 2.0 base model pre-trained from 80 thousand hours of Czech speech.
This model does not have a tokenize... |
azizbarank/mbert-finnic-ner | ce5b0fd5041ba65dd21a9021e23782753e7a22be | 2022-03-25T13:55:16.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | azizbarank | null | azizbarank/mbert-finnic-ner | 10 | null | transformers | 11,785 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: mbert-finnic-ner
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 ... |
IIC/mbart-large-lfqa-es | b28c031270ce5683f935b97a26223a6d8da50fda | 2022-04-04T02:14:04.000Z | [
"pytorch",
"tensorboard",
"mbart",
"text2text-generation",
"es",
"dataset:IIC/lfqa_es",
"transformers",
"seq2seq",
"abstractive question answering",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | IIC | null | IIC/mbart-large-lfqa-es | 10 | 2 | transformers | 11,786 | ---
language:
- es
tags:
# - summarization # Example: audio
- seq2seq # Example: automatic-speech-recognition
- abstractive question answering
datasets:
- IIC/lfqa_es
metrics:
- rouge2
- rouge1
- rougel
- rougelsum
# Optional. Add this if you want to encode your eval results in a structured way.
model-index:
- name:... |
lkm2835/distilbert-imdb | 35f9ea573fa8403c87c390cffb1a14777481acab | 2022-07-17T14:47:59.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | lkm2835 | null | lkm2835/distilbert-imdb | 10 | null | transformers | 11,787 | ---
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... |
studio-ousia/mluke-large-lite-finetuned-conll-2003 | 77a0be94d83e5836c82add4cdddffd07112888d3 | 2022-03-28T07:59:25.000Z | [
"pytorch",
"luke",
"transformers",
"license:apache-2.0"
] | null | false | studio-ousia | null | studio-ousia/mluke-large-lite-finetuned-conll-2003 | 10 | null | transformers | 11,788 | ---
license: apache-2.0
---
|
sophieb/electricidad-small-discriminator-finetuned-noticias-falsas-en-espaol-fakenews | 33b56c5f1b5f8fa845804703f5b379fa9d441390 | 2022-03-31T02:13:32.000Z | [
"pytorch",
"tensorboard",
"electra",
"text-classification",
"transformers"
] | text-classification | false | sophieb | null | sophieb/electricidad-small-discriminator-finetuned-noticias-falsas-en-espaol-fakenews | 10 | null | transformers | 11,789 | Entry not found |
asafaya/hubert-large-turkish | d769a6e6ce52cce2c8fd151d8173f84d3ed71f14 | 2022-03-29T12:57:59.000Z | [
"pytorch",
"hubert",
"feature-extraction",
"transformers",
"license:cc-by-nc-4.0"
] | feature-extraction | false | asafaya | null | asafaya/hubert-large-turkish | 10 | null | transformers | 11,790 | ---
license: cc-by-nc-4.0
---
|
tbosse/bert-base-german-cased-finetuned-subj_v1 | e810312f610286eb3af481dd8625ef38f1a33ac5 | 2022-03-29T15:59:49.000Z | [
"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_v1 | 10 | null | transformers | 11,791 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-german-cased-finetuned-subj_v1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and c... |
princeton-nlp/CoFi-SST2-s95 | 931c4672d8f7c16cb50aadcc0aea585b4caaaf65 | 2022-05-01T01:19:38.000Z | [
"pytorch",
"bert",
"text-classification",
"arxiv:2204.00408",
"transformers"
] | text-classification | false | princeton-nlp | null | princeton-nlp/CoFi-SST2-s95 | 10 | null | transformers | 11,792 | This is a model checkpoint for "[Structured Pruning Learns Compact and Accurate Models](https://arxiv.org/pdf/2204.00408.pdf)". The model is pruned from `bert-base-uncased` to a 95% sparsity on dataset SST-2. Please go to [our repository](https://github.com/princeton-nlp/CoFiPruning) for more details on how to use the ... |
neibla/distilbert-base-uncased-finetuned-emotion | 79b64c36b2ad9ed6f7c5d1c71769f2afd495fc8d | 2022-03-30T08:56:26.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | neibla | null | neibla/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,793 | ---
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... |
Marif/Arif_fake_news_classifier | 57eb62d20474a47b9019f2be3b7716476ba40250 | 2022-03-31T04:19:29.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"license:afl-3.0"
] | text-classification | false | Marif | null | Marif/Arif_fake_news_classifier | 10 | null | transformers | 11,794 | ---
license: afl-3.0
---
|
deepspeechvision/wav2vec2_hindi_asr | b8c632e90d97cd6d8922517f4596ec7346c3ff70 | 2022-03-31T18:03:34.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | deepspeechvision | null | deepspeechvision/wav2vec2_hindi_asr | 10 | null | transformers | 11,795 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2_hindi_asr
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... |
Teyronebigdick/DialoGPT-small-terrydavis | 9bb5fe4d7d1241356b63c0df5b8de21f7ea9fed3 | 2022-04-01T21:41:38.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Teyronebigdick | null | Teyronebigdick/DialoGPT-small-terrydavis | 10 | null | transformers | 11,796 | ---
tags:
- conversational
---
# Terry Davis DialoGPT Model |
hackathon-pln-es/biomedtra-small-es-squad2-es | d29137087bd9ac4cd18d41cff84069090990caf8 | 2022-04-03T14:51:12.000Z | [
"pytorch",
"electra",
"question-answering",
"es",
"dataset:squad_es",
"dataset:hackathon-pln-es/biomed_squad_es_v2",
"transformers",
"autotrain_compatible"
] | question-answering | false | hackathon-pln-es | null | hackathon-pln-es/biomedtra-small-es-squad2-es | 10 | null | transformers | 11,797 | ---
language: es
datasets:
- squad_es
- hackathon-pln-es/biomed_squad_es_v2
metrics:
- "f1"
---
# biomedtra-small for QA
This model was trained as part of the "Extractive QA Biomedicine" project developed during the 2022 [Hackathon](https://somosnlp.org/hackathon) organized by SOMOS NLP.
## Motivation
Recent rese... |
VikasMani/wikineural-multilingual-ner | 929b58a0a68dd34a3a4355e97c7a138ee5eefebd | 2022-04-02T10:57:38.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | VikasMani | null | VikasMani/wikineural-multilingual-ner | 10 | null | transformers | 11,798 | Entry not found |
crazypegasus/GPT-JonSnow | d46c81a5ea9550f5ae999a9ce61032a40bb7b073 | 2022-04-03T15:38:04.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | crazypegasus | null | crazypegasus/GPT-JonSnow | 10 | null | transformers | 11,799 | ---
tags:
- conversational
---
# JonSnow GPT model
|
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