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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
benjamin/roberta-base-wechsel-ukrainian | 6efef251e8955956c3086c0ef58001065c9b1800 | 2022-07-13T23:43:28.000Z | [
"pytorch",
"roberta",
"fill-mask",
"uk",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | benjamin | null | benjamin/roberta-base-wechsel-ukrainian | 10 | null | transformers | 11,800 | ---
license: mit
language: uk
---
# roberta-base-wechsel-ukrainian
[`roberta-base`](https://huggingface.co/roberta-base) transferred to Ukrainian using the method from the NAACL2022 paper [WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models](https://aclant... |
hackathon-pln-es/unam_tesis_BETO_finnetuning | b2c791544cca370b45c34fe6600a506116ac1be6 | 2022-04-13T02:16:03.000Z | [
"pytorch",
"dataset:unam_tesis",
"transformers",
"text-classification",
"license:apache-2.0"
] | text-classification | false | hackathon-pln-es | null | hackathon-pln-es/unam_tesis_BETO_finnetuning | 10 | 5 | transformers | 11,801 | ---
annotations_creators:
- inoid
- MajorIsaiah
- Ximyer
- clavel
tags:
- "transformers"
- "text-classification"
languages: "es"
license: "apache-2.0"
datasets: "unam_tesis"
metrics: "accuracy"
widget:
- text: "Introducción al análisis de riesgos competitivos bajo el enfoque de la función de incidencia acumulada (FI... |
LeBenchmark/wav2vec-FR-1K-Male-base | bc32576a8dd2bba1d276c9313836ba5b01865bda | 2022-05-11T09:23:04.000Z | [
"pytorch",
"wav2vec2",
"pretraining",
"fr",
"arxiv:2204.01397",
"transformers",
"license:apache-2.0"
] | null | false | LeBenchmark | null | LeBenchmark/wav2vec-FR-1K-Male-base | 10 | null | transformers | 11,802 | ---
language: "fr"
thumbnail:
tags:
- wav2vec2
license: "apache-2.0"
---
# LeBenchmark: wav2vec2 base model trained on 1K hours of French *female-only* speech
LeBenchmark provides an ensemble of pretrained wav2vec2 models on different French datasets containing spontaneous, read, and broadcasted speech.
For more... |
bhavitvyamalik/fake-news_xtremedistil-l6-h256-uncased | 130d1edcdbd53cddbad02ee281c52b4bed71bedd | 2022-04-18T20:23:38.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"license:mit"
] | text-classification | false | bhavitvyamalik | null | bhavitvyamalik/fake-news_xtremedistil-l6-h256-uncased | 10 | null | transformers | 11,803 | ---
license: mit
---
### Dataset used
[Fake and real news dataset](https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset)
### Labels
Fake news: 1 </br>
Real news: 0
### Usage
```python
from transformers import AutoModelForSequenceClassification, AutoTokenizer, AutoConfig
import torch
config =... |
MohitSingh/wikineural-multilingual-ner | 172339d78f5916850e7ed457f2a66b52d66af105 | 2022-04-04T15:59:57.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | MohitSingh | null | MohitSingh/wikineural-multilingual-ner | 10 | null | transformers | 11,804 | Entry not found |
Vinspatel4/wikineural-multilingual-ner | a948a1030575d29ae650fd6722f68efebe439df0 | 2022-04-10T07:49:33.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Vinspatel4 | null | Vinspatel4/wikineural-multilingual-ner | 10 | null | transformers | 11,805 | Entry not found |
HenryHXR/scibert_scivocab_uncased_epoch20-finetuned-ner | 492dd152f5bbed239ec44538d0d408219d90dd00 | 2022-04-05T15:51:56.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | HenryHXR | null | HenryHXR/scibert_scivocab_uncased_epoch20-finetuned-ner | 10 | null | transformers | 11,806 | ---
tags:
- generated_from_trainer
model-index:
- name: scibert_scivocab_uncased_epoch20-finetuned-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 remove this comment. -->
# scibert_... |
nielsr/segformer-test-sidewalk-v2 | 4f04f05e8c70ab3705dcd3318c4512a519a8c66f | 2022-04-06T13:11:06.000Z | [
"pytorch",
"segformer",
"dataset:segments/sidewalk-semantic",
"transformers",
"vision",
"image-segmentation",
"license:apache-2.0"
] | image-segmentation | false | nielsr | null | nielsr/segformer-test-sidewalk-v2 | 10 | null | transformers | 11,807 | ---
license: apache-2.0
tags:
- vision
- image-segmentation
datasets:
- segments/sidewalk-semantic
widget:
- src: https://segmentsai-prod.s3.eu-west-2.amazonaws.com/assets/admin-tobias/439f6843-80c5-47ce-9b17-0b2a1d54dbeb.jpg
example_title: Brugge
--- |
ashwathgojo234/wikineural-multilingual-ner | 4d861c0bbc27f7bd68ab793cb1ade570edb14fb5 | 2022-04-11T12:39:28.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ashwathgojo234 | null | ashwathgojo234/wikineural-multilingual-ner | 10 | null | transformers | 11,808 | Entry not found |
ChrisZeng/bertweet-base-cased-covid19-hateval | 9c47b1e32741597805fb39de82633228de234349 | 2022-04-06T23:04:39.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | ChrisZeng | null | ChrisZeng/bertweet-base-cased-covid19-hateval | 10 | null | transformers | 11,809 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bertweet-base-cased-covid19-hateval
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. -... |
btjiong/robbert-twitter-sentiment-tokenized | 4d63b4a44f9920bba176619f2f2df784d153315c | 2022-04-07T17:54:02.000Z | [
"pytorch",
"roberta",
"text-classification",
"dataset:dutch_social",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | btjiong | null | btjiong/robbert-twitter-sentiment-tokenized | 10 | null | transformers | 11,810 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- dutch_social
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: robbert-twitter-sentiment-tokenized
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: dutch_social
type: dutch_soc... |
yj2773/hinglish11k-sentiment-analysis | f01fc28259b14bf235957d93385a6cbc1bdde866 | 2022-06-12T12:47:00.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"ur",
"hi",
"transformers",
"license:afl-3.0"
] | text-classification | false | yj2773 | null | yj2773/hinglish11k-sentiment-analysis | 10 | null | transformers | 11,811 | ---
license: afl-3.0
language:
- en
- ur
- hi
widget:
- text: "Tum bohot badiya ho."
---
## Hinglish-Bert-Class fine-tuned on Hinglish11K dataset.
# MCC= 0.69
### Citation info
```bibtex
@model{
contributors= {Mohammad Yusuf Jamal Aziz Azmi and
Ayush Aggarwal
},
year = {2022}... |
jackmleitch/distilbert-base-uncased-finetuned-emotion | a47b5a079c5e7d58f77cb47e16ed2fdffa7a34a3 | 2022-04-07T17:53:26.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jackmleitch | null | jackmleitch/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,812 | ---
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... |
palakagl/bert_TextClassification | 29cad5ea6d17a6289a80017e08c32ceb69ce700c | 2022-04-07T17:18:20.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:palakagl/autotrain-data-PersonalAssitant",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | palakagl | null | palakagl/bert_TextClassification | 10 | null | transformers | 11,813 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- palakagl/autotrain-data-PersonalAssitant
co2_eq_emissions: 7.025108874009706
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 717221787
- CO2 Emissions (in grams): 7.025108874009706
## Validat... |
ahmednasser/DistilBert-FakeNews | e3015860de6007ef933eab86151a9deee6d2c85c | 2022-04-20T16:29:21.000Z | [
"pytorch",
"distilbert",
"en",
"dataset:Fake News https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset",
"arxiv:1910.01108",
"transformers",
"text-classification",
"fake-news"
] | text-classification | false | ahmednasser | null | ahmednasser/DistilBert-FakeNews | 10 | null | transformers | 11,814 | ---
language:
- en
tags:
- text-classification
- fake-news
- pytorch
datasets:
- Fake News https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset
metrics:
- Accuracy, AUC
---
## Model description:
[Distilbert](https://arxiv.org/abs/1910.01108) is created with knowledge distillation during the pre... |
tbosse/bert-base-german-cased-finetuned-subj_v5_7Epoch | f7da0d169e0eff649d3d9b620fa5d9f89e04ae6f | 2022-04-07T20:49:22.000Z | [
"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_v5_7Epoch | 10 | null | transformers | 11,815 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-german-cased-finetuned-subj_v5_7Epoch
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofrea... |
Shwetabh/wikineural-multilingual-ner | 111cc8a5408716a9eccbe1d67520b10ba4dc4961 | 2022-04-10T05:37:45.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Shwetabh | null | Shwetabh/wikineural-multilingual-ner | 10 | null | transformers | 11,816 | Entry not found |
dpazmino/finetuning-sentiment-model_duke_final | 4f865642f950524519491c69d970a87d4805b512 | 2022-04-10T18:34:53.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | dpazmino | null | dpazmino/finetuning-sentiment-model_duke_final | 10 | null | transformers | 11,817 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: finetuning-sentiment-model_duke_final
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... |
ChrisZeng/twitter-roberta-base-efl-hateval | ec979b7388bf1f31ed195a42a4fdc21a7ce37e11 | 2022-04-11T19:25:01.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | ChrisZeng | null | ChrisZeng/twitter-roberta-base-efl-hateval | 10 | null | transformers | 11,818 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: twitter-roberta-base-efl-hateval
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. -->
... |
Giyaseddin/distilroberta-base-finetuned-short-answer-assessment | 9a0f2b9ca32070da8e5e63e0e7b6f33f3db5038b | 2022-04-11T15:21:42.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:Short Question Answer Assessment Dataset",
"arxiv:1806.02847",
"transformers",
"license:apache-2.0"
] | text-classification | false | Giyaseddin | null | Giyaseddin/distilroberta-base-finetuned-short-answer-assessment | 10 | 1 | transformers | 11,819 | ---
license: apache-2.0
language: en
library: transformers
other: distilroberta
datasets:
- Short Question Answer Assessment Dataset
---
# DistilRoBERTa base model for Short Question Answer Assessment
## Model description
The pre-trained model is a distilled version of the [RoBERTa-base model](https://huggingface.c... |
Zainab18/wikineural-multilingual-ner | 636a4486b2c5ee27da393e99675f02b9537b84ff | 2022-04-11T11:02:55.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Zainab18 | null | Zainab18/wikineural-multilingual-ner | 10 | null | transformers | 11,820 | Entry not found |
Shiva12/wikineural-multilingual-ner | 1b1844a6cabb0fa43d1491ed9e674561ce304e9f | 2022-04-11T16:48:56.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Shiva12 | null | Shiva12/wikineural-multilingual-ner | 10 | null | transformers | 11,821 | Entry not found |
tbosse/bert-base-german-cased-finetuned-subj_v5_11Epoch | f81716fe3f58d282c21cf541b65b47d604fe5ab9 | 2022-04-11T17:08:55.000Z | [
"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_v5_11Epoch | 10 | null | transformers | 11,822 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-german-cased-finetuned-subj_v5_11Epoch
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofre... |
veddm/paraphrase-multilingual-MiniLM-L12-v2-finetuned-DIT | 8153676d28e97a52e83178c39918f2ce8f379dc7 | 2022-04-12T15:46:27.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | veddm | null | veddm/paraphrase-multilingual-MiniLM-L12-v2-finetuned-DIT | 10 | null | transformers | 11,823 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: paraphrase-multilingual-MiniLM-L12-v2-finetuned-DIT
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... |
Salesforce/codegen-16B-nl | 3b002d57ed722e369199c1430923fe0b7e2402de | 2022-06-28T18:08:08.000Z | [
"pytorch",
"codegen",
"text-generation",
"arxiv:2203.13474",
"transformers",
"license:bsd-3-clause"
] | text-generation | false | Salesforce | null | Salesforce/codegen-16B-nl | 10 | 2 | transformers | 11,824 | ---
license: bsd-3-clause
---
# CodeGen (CodeGen-NL 16B)
## Model description
CodeGen is a family of autoregressive language models for **program synthesis** from the paper: [A Conversational Paradigm for Program Synthesis](https://arxiv.org/abs/2203.13474) by Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wan... |
Intel/albert-base-v2-sst2-int8-static | aed2b7c8c238bec371b744a926597fa54026dc3e | 2022-06-10T02:41:02.000Z | [
"pytorch",
"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"text-classfication",
"int8",
"Intel® Neural Compressor",
"PostTrainingStatic",
"license:apache-2.0"
] | text-classification | false | Intel | null | Intel/albert-base-v2-sst2-int8-static | 10 | 0 | transformers | 11,825 | ---
language:
- en
license: apache-2.0
tags:
- text-classfication
- int8
- Intel® Neural Compressor
- PostTrainingStatic
datasets:
- glue
metrics:
- accuracy
model_index:
- name: sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE SST2
type: glue... |
Helsinki-NLP/opus-mt-tc-big-en-hu | 8ec0362c0de8e9d7d5b238b58845b8a65087b366 | 2022-06-01T13:04:00.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"hu",
"transformers",
"translation",
"opus-mt-tc",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tc-big-en-hu | 10 | null | transformers | 11,826 | ---
language:
- en
- hu
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-en-hu
results:
- task:
name: Translation eng-hun
type: translation
args: eng-hun
dataset:
name: flores101-devtest
type: flores_101
args: eng hun devtest
metrics... |
omar47/wav2vec2-large-xls-r-300m-urdu-colab | 4d3c1b05bff9375203a0c3ee95c46da1cc25a9df | 2022-04-13T19:52:55.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | omar47 | null | omar47/wav2vec2-large-xls-r-300m-urdu-colab | 10 | null | transformers | 11,827 | Entry not found |
x180/macbert4csc-scalarmix-base-chinese | 51f73a48a28ce312b747c8a6e50fab2446335a1c | 2022-04-14T05:53:56.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | x180 | null | x180/macbert4csc-scalarmix-base-chinese | 10 | 1 | transformers | 11,828 | ---
license: apache-2.0
---
## 介绍
> 基于macbert对mask language model微调，进行错字修改。
这个是在[shibing624/macbert4csc-base-chinese](https://huggingface.co/shibing624/macbert4csc-base-chinese/tree/main)的基础上进行修改，
其对应的 [源码位置](https://github.com/shibing624/pycorrector/tree/master/pycorrector/macbert)。
## 使用
可参考[shibing624/macbert4... |
huggingtweets/jeffbezos | e5a5a7abee5a2646fc0081ffe91a2c1f33369cd2 | 2022-05-27T11:34:00.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/jeffbezos | 10 | null | transformers | 11,829 | ---
language: en
thumbnail: http://www.huggingtweets.com/jeffbezos/1653651235626/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; width... |
MartinoMensio/racism-models-regression-w-m-vote-epoch-4 | e38d990c7cd14098a5b804a3105f24b61de7ee90 | 2022-05-04T16:22:45.000Z | [
"pytorch",
"bert",
"text-classification",
"es",
"transformers",
"license:mit"
] | text-classification | false | MartinoMensio | null | MartinoMensio/racism-models-regression-w-m-vote-epoch-4 | 10 | null | transformers | 11,830 | ---
language: es
license: mit
widget:
- text: "y porqué es lo que hay que hacer con los menas y con los adultos también!!!! NO a los inmigrantes ilegales!!!!"
---
### Description
This model is a fine-tuned version of [BETO (spanish bert)](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) that has been t... |
paulagarciaserrano/roberta-depression-detection | 30514b351f5c553299e5b8500d29630df0337768 | 2022-05-05T13:42:30.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:Shared task on Detecting Signs of Depression from Social Media Text at LT-EDI 2022-ACL 2022",
"transformers"
] | text-classification | false | paulagarciaserrano | null | paulagarciaserrano/roberta-depression-detection | 10 | null | transformers | 11,831 | ---
language: "en"
datasets:
- Shared task on Detecting Signs of Depression from Social Media Text at LT-EDI 2022-ACL 2022
metrics:
- Macro F1-Score
---
# Roberta for depression signs detection
This model is a fine-tuned version the <a href="https://huggingface.co/cardiffnlp/twitter-roberta-base">cardiffnlp/twitter-r... |
theta/MBTI-ckiplab-albert | e8aba53863fcd2c63205bf6bb91cb219cc5ea07c | 2022-05-14T12:00:14.000Z | [
"pytorch",
"albert",
"text-classification",
"zh",
"transformers",
"MBTI",
"zh-tw",
"generated_from_trainer",
"model-index"
] | text-classification | false | theta | null | theta/MBTI-ckiplab-albert | 10 | null | transformers | 11,832 | ---
language:
- zh
tags:
- MBTI
- zh
- zh-tw
- generated_from_trainer
model-index:
- name: MBTI-ckiplab-albert
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. -->
# ... |
xysmalobia/distilbert-base-uncased-finetuned-emotion | 6ec49cdb94f5dc3c0d79ef6eba3902c366b37d16 | 2022-04-17T20:09:18.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | xysmalobia | null | xysmalobia/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,833 | ---
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... |
stevenlx96/distilbert-base-uncased-finetuned-hated | 3a9503e30167f42331022bf69301bab25256a9b8 | 2022-04-19T11:30:24.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | stevenlx96 | null | stevenlx96/distilbert-base-uncased-finetuned-hated | 10 | null | transformers | 11,834 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-hated
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... |
GPL/bioasq-msmarco-distilbert-gpl | 56eeded4f649cb026346fa35c8a37e7114e39590 | 2022-04-19T16:41:44.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | GPL | null | GPL/bioasq-msmarco-distilbert-gpl | 10 | null | sentence-transformers | 11,835 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluster... |
Kateryna/eva_ru_forum_headlines | 2d3d0cf874260663f497b5feb0cd691dc5d43faf | 2022-04-21T02:19:58.000Z | [
"pytorch",
"t5",
"text2text-generation",
"ru",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Kateryna | null | Kateryna/eva_ru_forum_headlines | 10 | null | transformers | 11,836 | ---
language:
- ru
widget:
- text: "Я влюбилась в одного парня. Каждый раз, когда он меня видит, он плюется и переходит на другую сторону улицы. Как вы думаете, он меня любит?"
- text: "Дочке 15, книг не читает, вся жизнь (вне школы) в телефоне на кровати. Любознательности ноль. Куда-то поехать в новое место, узнать ч... |
nirmalkumar/distilledgpt2-cric-commentary | 48422d894e5348447996279ca5c4ec89fe764fe4 | 2022-04-20T12:02:02.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | nirmalkumar | null | nirmalkumar/distilledgpt2-cric-commentary | 10 | null | transformers | 11,837 | Entry not found |
thanawan/bert-base-uncased-finetuned-humordetection | 63863e231f6bfb7a621f6347d1326d33388d027e | 2022-04-21T06:35:51.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | thanawan | null | thanawan/bert-base-uncased-finetuned-humordetection | 10 | null | transformers | 11,838 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-base-uncased-finetuned-humordetection
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... |
Goud/DarijaBERT-summarization-goud | e6cd677a42ff8fffe7fd18c835e94bedde93d3d5 | 2022-04-29T15:07:03.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"Moroccan Arabic (MA)",
"Modern Standard Arabic (MSA)",
"dataset:Goud/Goud-sum",
"transformers",
"summarization",
"autotrain_compatible"
] | summarization | false | Goud | null | Goud/DarijaBERT-summarization-goud | 10 | 1 | transformers | 11,839 | ---
datasets:
- Goud/Goud-sum
language:
- "Moroccan Arabic (MA)"
- "Modern Standard Arabic (MSA)"
metrics:
- rouge
tags:
- summarization
widget:
-
text: "توصل الاتحاد الأوروبي، في وقت مبكر من اليوم السبت، إلى اتفاق تاريخي يستهدف خطاب الكراهية والمعلومات المضللة والمحتويات الضارة الأخرى الموجودة عل... |
Goud/AraBERT-summarization-goud | ffff7a63b12d84267ce3fd1921cf3687ba76e9be | 2022-04-29T15:06:47.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"Moroccan Arabic (MA)",
"Modern Standard Arabic (MSA)",
"dataset:Goud/Goud-sum",
"transformers",
"summarization",
"autotrain_compatible"
] | summarization | false | Goud | null | Goud/AraBERT-summarization-goud | 10 | null | transformers | 11,840 | ---
datasets:
- Goud/Goud-sum
language:
- "Moroccan Arabic (MA)"
- "Modern Standard Arabic (MSA)"
metrics:
- rouge
tags:
- summarization
widget:
-
text: "توصل الاتحاد الأوروبي، في وقت مبكر من اليوم السبت، إلى اتفاق تاريخي يستهدف خطاب الكراهية والمعلومات المضللة والمحتويات الضارة الأخرى الموجودة عل... |
AswiN037/xlm-roberta-squad-tamil | aed867e234a43d47d65716dfc6a9d8f9130ea07a | 2022-05-31T04:15:42.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"license:osl-3.0",
"autotrain_compatible"
] | question-answering | false | AswiN037 | null | AswiN037/xlm-roberta-squad-tamil | 10 | null | transformers | 11,841 | ---
license: osl-3.0
---
Question Answering model
|
surrey-nlp/albert-large-v2-finetuned-abbDet | a5356083cb6317203b97fe016a9d42e264613599 | 2022-04-30T12:15:44.000Z | [
"pytorch",
"albert",
"token-classification",
"en",
"dataset:surrey-nlp/PLOD-unfiltered",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | surrey-nlp | null | surrey-nlp/albert-large-v2-finetuned-abbDet | 10 | 1 | transformers | 11,842 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- surrey-nlp/PLOD-unfiltered
metrics:
- precision
- recall
- f1
- accuracy
language:
- en
widget:
- text: "Light dissolved inorganic carbon (DIC) resulting from the oxidation of hydrocarbons."
- text: "RAFs are plotted for a selection of neurons in the do... |
Sarim24/distilbert-base-uncased-finetuned-clinc | 1b83ff5ab738567d549ea2014a2391088b579192 | 2022-04-23T19:40:13.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:clinc_oos",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Sarim24 | null | Sarim24/distilbert-base-uncased-finetuned-clinc | 10 | null | transformers | 11,843 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
... |
magistermilitum/roberta-multilingual-medieval-ner | bee8c0fec9cadf4aeeb2488df4d5fba7582bd653 | 2022-04-24T21:42:00.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"Latin",
"French",
"Spanish",
"transformers",
"text",
"named entity recognition",
"roberta",
"historical languages",
"precision",
"recall",
"license:cc-by-nc-4.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | magistermilitum | null | magistermilitum/roberta-multilingual-medieval-ner | 10 | null | transformers | 11,844 | ---
language:
- Latin
- French
- Spanish
license: cc-by-nc-4.0
tags:
- text # Example: audio
- named entity recognition
- roberta
- historical languages
- precision # Example: wer. Use metric id from https://hf.co/metrics
- recall
model-index:
- name: roberta-multilingual-medieval-ner
results:
- task:
... |
Miranda/t5-small-train | a5911178380da9aac8bfe2aea88ba7f050ff6551 | 2022-04-30T20:50:31.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | Miranda | null | Miranda/t5-small-train | 10 | null | transformers | 11,845 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-train
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 com... |
kSaluja/new-test-model | a99f00dfdea802f1414e9a67732b97f0f76ef908 | 2022-04-25T13:43:56.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | kSaluja | null | kSaluja/new-test-model | 10 | null | transformers | 11,846 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: new-test-model
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 re... |
kSaluja/new-test-model2 | f4687337caccc3ad4a978baa58da488f0ceee11b | 2022-05-02T12:58:39.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | kSaluja | null | kSaluja/new-test-model2 | 10 | null | transformers | 11,847 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: new-test-model2
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... |
chrisvanriemsdijk/finetuned-layoutlmv2-klippa | 4259c412bd3426a615d6a873deb370e36c515517 | 2022-04-29T17:57:15.000Z | [
"pytorch",
"layoutlmv2",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | chrisvanriemsdijk | null | chrisvanriemsdijk/finetuned-layoutlmv2-klippa | 10 | null | transformers | 11,848 | Entry not found |
jason9693/KcELECTRA-small-v2022-apeach | c9c9f37c0d1d3ce52082979f7900c96073e3498e | 2022-04-27T12:04:14.000Z | [
"pytorch",
"electra",
"text-classification",
"ko",
"dataset:jason9693/APEACH",
"transformers"
] | text-classification | false | jason9693 | null | jason9693/KcELECTRA-small-v2022-apeach | 10 | 1 | transformers | 11,849 | ---
language: ko
widget:
- text: "코딩을 🐶🍾👟같이 하니까 맨날 장애나잖아 이 🧑🦽아"
datasets:
- jason9693/APEACH
--- |
manueltonneau/bert-twitter-pt-is-hired | ddd6e2fdb7264f6d4b25632554d827ff390f1ff2 | 2022-04-27T09:01:09.000Z | [
"pytorch",
"bert",
"text-classification",
"pt",
"arxiv:2203.09178",
"transformers"
] | text-classification | false | manueltonneau | null | manueltonneau/bert-twitter-pt-is-hired | 10 | null | transformers | 11,850 | ---
language: pt # <-- my language
widget:
- text: "Primeiro dia do novo emprego!"
---
# Detection of employment status disclosures on Twitter
## Model main characteristics:
- class: Is Hired (1), else (0)
- country: BR
- language: Portuguese
- architecture: BERT base
## Model description
This model is a ... |
peringe/finetuning-sentiment-model-3000-samples-pi | 216169adeef312c2ccee27061ffc52c0f075c401 | 2022-04-27T08:58:12.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | peringe | null | peringe/finetuning-sentiment-model-3000-samples-pi | 10 | null | transformers | 11,851 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples-pi
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
... |
nickmuchi/facebook-data2vec-finetuned-finance-classification | bc1802fd1bdae6a26accc59f7d40911c31df2563 | 2022-04-27T14:31:03.000Z | [
"pytorch",
"tensorboard",
"data2vec-text",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | nickmuchi | null | nickmuchi/facebook-data2vec-finetuned-finance-classification | 10 | null | transformers | 11,852 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: fb-data2vec-finetuned-finance-classification
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread a... |
yhshin/latex-ocr | 6828f527d83688d93942fa5311757b50c7b240ba | 2022-04-28T09:44:30.000Z | [
"pytorch",
"vision-encoder-decoder",
"transformers",
"license:mit"
] | null | false | yhshin | null | yhshin/latex-ocr | 10 | null | transformers | 11,853 | ---
license: mit
---
|
cassiepowell/LaBSE-for-agreement | ed2306de9bbd55da0bf2f102d47fd9bd7b79a0d8 | 2022-04-28T17:56:09.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | cassiepowell | null | cassiepowell/LaBSE-for-agreement | 10 | null | transformers | 11,854 | Entry not found |
icity/distilbert-base-uncased-finetuned-imdb-accelerate | 0409ac972d0b588f1fc59af0b85052a6a31d8a9d | 2022-05-18T15:37:23.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | icity | null | icity/distilbert-base-uncased-finetuned-imdb-accelerate | 10 | null | transformers | 11,855 | Entry not found |
dipteshkanojia/scibert_scivocab_uncased-finetuned-ner | 13c9f7728cc5f246c2726ac19bd730697b328003 | 2022-04-28T22:49:03.000Z | [
"pytorch",
"bert",
"token-classification",
"dataset:plo_dunfiltered_config",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | dipteshkanojia | null | dipteshkanojia/scibert_scivocab_uncased-finetuned-ner | 10 | null | transformers | 11,856 | ---
tags:
- generated_from_trainer
datasets:
- plo_dunfiltered_config
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: scibert_scivocab_uncased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: plo_dunfiltered_config
typ... |
jg/distilbert-base-uncased-finetuned-emotion | 0d3044cab0c5268a4ada60e9ecda1d97ae38c276 | 2022-04-30T18:34:27.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jg | null | jg/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,857 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... |
Davincilee/door_inner_with_SA-bert-base-uncased | bffb90944cb3283150513179becd8622f64448ee | 2022-05-13T14:56:11.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Davincilee | null | Davincilee/door_inner_with_SA-bert-base-uncased | 10 | null | transformers | 11,858 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: door_inner_with_SA-bert-base-uncased
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. -->
... |
LiYouYou/BERT_MRPC | a0f405fc72b4829b38d9c786cdfef76f9e8519f4 | 2022-05-03T16:13:06.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | LiYouYou | null | LiYouYou/BERT_MRPC | 10 | null | transformers | 11,859 | Entry not found |
mrm8488/data2vec-text-base-finetuned-stsb | 207a645147225344224bb0d6dfb3174232496c1a | 2022-05-03T16:28:24.000Z | [
"pytorch",
"tensorboard",
"data2vec-text",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | mrm8488 | null | mrm8488/data2vec-text-base-finetuned-stsb | 10 | null | transformers | 11,860 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: data2vec-text-base-finetuned-stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: stsb
metrics:
- name: Spear... |
anshr/distilgpt2_trained_policy_model_final | 3ed5446ef838008807881ac01c85d952fa378f29 | 2022-05-05T03:01:32.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | anshr | null | anshr/distilgpt2_trained_policy_model_final | 10 | null | transformers | 11,861 | Entry not found |
ml4pubmed/bluebert-pubmed-uncased-L-12-H-768-A-12_pub_section | 7c3fa41bc6dc4d3316815b78d60b03eb75f29ca8 | 2022-05-04T00:03:25.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:pubmed",
"transformers"
] | text-classification | false | ml4pubmed | null | ml4pubmed/bluebert-pubmed-uncased-L-12-H-768-A-12_pub_section | 10 | null | transformers | 11,862 | ---
language:
- en
datasets:
- pubmed
metrics:
- f1
pipeline_tag: text-classification
widget:
- text: "many pathogenic processes and diseases are the result of an erroneous activation of the complement cascade and a number of inhibitors of complement have thus been examined for anti-inflammatory actions."
example_tit... |
LiYouYou/bert_finetuning_cn | 76ec7027fa157caab0fabe5cd2f69abc0b5034d8 | 2022-05-04T05:36:19.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | LiYouYou | null | LiYouYou/bert_finetuning_cn | 10 | null | transformers | 11,863 | ---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: bert_finetuning_cn
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE SST2
type: glue
args: sst2
metrics:
- name: Accuracy
... |
jgriffi/distilbert-base-uncased-finetuned-emotion | a7c4f479c62bf3e7d6947ff73eeb4e90aa48e11e | 2022-07-13T12:52:36.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jgriffi | null | jgriffi/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,864 | ---
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... |
Truefilter/bertweet_lg_text_quality | 2d4567a5dacded7f2c639703c0d7801adefec5f6 | 2022-05-05T11:42:31.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | Truefilter | null | Truefilter/bertweet_lg_text_quality | 10 | null | transformers | 11,865 | Entry not found |
antgoldbloom/distilbert-rater | f5565c9b4a48f142fe51acd688d285ff0b44c96a | 2022-05-05T14:45:54.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | antgoldbloom | null | antgoldbloom/distilbert-rater | 10 | null | transformers | 11,866 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-rater
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. -->
# distilbert-rater
... |
annasham/DialoGPT-small-myneighborTotoro | 7590eacc761af2e8669bfc8421ea2fca6af26343 | 2022-05-06T00:54:55.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | annasham | null | annasham/DialoGPT-small-myneighborTotoro | 10 | null | transformers | 11,867 | ---
tags:
- conversational
---
Hi! This is a chat bot based on My Neighbor Totoro!
# My Neighbor Totoro DialoGPT Model |
JoMart/albert-base-v2 | eec13d3ca3a3b3c99873750ebce9102e68117358 | 2022-05-07T13:11:42.000Z | [
"pytorch",
"tensorboard",
"albert",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | JoMart | null | JoMart/albert-base-v2 | 10 | null | transformers | 11,868 | ---
tags:
- generated_from_trainer
model-index:
- name: albert-base-v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# albert-base-v2
This model was trained f... |
jg/distilbert-base-uncased-finetuned-spam | 8caa3f5651241c6c6da444e6afdf7274b24381a8 | 2022-05-06T16:52:11.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jg | null | jg/distilbert-base-uncased-finetuned-spam | 10 | null | transformers | 11,869 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-spam
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... |
moghis/distilbert-base-uncased-finetuned-emotion | c72ec018f7ca015560025c540da6d09fbc554ff8 | 2022-05-10T18:44:13.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | moghis | null | moghis/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,870 | ---
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... |
paultimothymooney/distilbert-rater | 50a13f11b7b75a49fed265801c2cb49830b64f9c | 2022-05-10T17:40:47.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | paultimothymooney | null | paultimothymooney/distilbert-rater | 10 | null | transformers | 11,871 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-rater
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. -->
# distilbert-rater
... |
SalamaThanks/SalamaThanksTransformer_en2fil_v1 | c4c2512fc1cabdb2e361232435daa3d517e6aa43 | 2022-05-11T05:45:01.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"license:afl-3.0",
"autotrain_compatible"
] | text2text-generation | false | SalamaThanks | null | SalamaThanks/SalamaThanksTransformer_en2fil_v1 | 10 | null | transformers | 11,872 | ---
license: afl-3.0
---
SalamaThanks Transformer for English-to-Filipino Text Translation version 1.
Based on the Helsinki-NLP/opus-mt-en-tl transformer model. |
SalamaThanks/SalamaThanksTransformer_fil2en_v1 | 0ef6f667264da1f2b836fde18881c5ec8a55edcd | 2022-05-11T05:45:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"license:afl-3.0",
"autotrain_compatible"
] | text2text-generation | false | SalamaThanks | null | SalamaThanks/SalamaThanksTransformer_fil2en_v1 | 10 | null | transformers | 11,873 | ---
license: afl-3.0
---
SalamaThanks Transformer for Filipino-to-English Text Translation version 1.
Based on the Helsinki-NLP/opus-mt-tl-en transformer model. |
huggingtweets/medvedevrussia | 706187f6de4a7ae1a91bf9b977e19e93d3bdd4a0 | 2022-05-15T12:26:28.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/medvedevrussia | 10 | null | transformers | 11,874 | ---
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... |
juliensimon/sagemaker-distilbert-emotion | cf9bcd3b4da3b1a17d021771a6405e745583cb2a | 2022-05-16T14:28:12.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | juliensimon | null | juliensimon/sagemaker-distilbert-emotion | 10 | null | transformers | 11,875 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: sagemaker-distilbert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
... |
pietrolesci/t5v1_1-large-mnli | 24fd6cdd61a626591fd4a4b6b755044e2ccfab71 | 2022-05-17T09:23:39.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | pietrolesci | null | pietrolesci/t5v1_1-large-mnli | 10 | null | transformers | 11,876 | Entry not found |
vamossyd/bert-base-uncased-emotion | 54c9ed4bee3c652ffb5ada49369d606e6cb75540 | 2022-05-17T23:56:02.000Z | [
"pytorch",
"distilbert",
"text-classification",
"en",
"dataset:emotion",
"transformers",
"emotion",
"license:mit"
] | text-classification | false | vamossyd | null | vamossyd/bert-base-uncased-emotion | 10 | null | transformers | 11,877 | ---
language:
- en
tags:
- text-classification
- emotion
- pytorch
license: mit
datasets:
- emotion
metrics:
- accuracy
- precision
- recall
- f1
---
# bert-base-uncased-emotion
## Model description
`bert-base-uncased` finetuned on the unify-emotion-datasets (https://github.com/sarnthil/unify-emotion-datasets) [~25... |
aakorolyova/primary_and_secondary_outcome_extraction | 2e17740e7592b88ce3cf015327ec3f4f1f0fbf72 | 2022-05-25T19:30:56.000Z | [
"pytorch",
"tf",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | aakorolyova | null | aakorolyova/primary_and_secondary_outcome_extraction | 10 | null | transformers | 11,878 | <h1>Model description</h1>
This is a fine-tuned BioBERT model for extracting primary and secondary outcomes from articles reporting clinical trials.
This model is a version of https://huggingface.co/aakorolyova/primary_outcome_extraction. We have not annotated any secondary outcome during the related PhD project. To ... |
aakorolyova/reported_outcome_extraction | efa98490b71a69fefd337ee4030d527dc98c3ac9 | 2022-05-25T19:31:52.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | aakorolyova | null | aakorolyova/reported_outcome_extraction | 10 | null | transformers | 11,879 | <h1>Model description</h1>
This is a fine-tuned BioBERT model for extracting reported outcomes (i.e. those for which results are presented) from articles reporting clinical trials.
This is the second version of the model; the original model development was reported in:
Anna Koroleva, Sanjay Kamath, Patrick Paroubek. ... |
calcworks/distilbert-base-uncased-distilled-clinc | 511c42472e28fa8f5c3d0fe022d59845c7ceff93 | 2022-05-19T17:03:17.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:clinc_oos",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | calcworks | null | calcworks/distilbert-base-uncased-distilled-clinc | 10 | null | transformers | 11,880 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-distilled-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
... |
phijve/bert-finetuned-ner | 71dcfe8caf362f8b57411f30d3bbe449206e3eba | 2022-05-20T16:14:44.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | phijve | null | phijve/bert-finetuned-ner | 10 | null | transformers | 11,881 | ---
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... |
north/t5_xxl_NCC | 0e4e5c9add75f182e506d3593fba693b7cd9b288 | 2022-06-01T19:42:15.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"no",
"nn",
"sv",
"dk",
"is",
"en",
"dataset:nbailab/NCC",
"dataset:mc4",
"dataset:wikipedia",
"arxiv:2104.09617",
"arxiv:1910.10683",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | north | null | north/t5_xxl_NCC | 10 | null | transformers | 11,882 | ---
language:
- no
- nn
- sv
- dk
- is
- en
datasets:
- nbailab/NCC
- mc4
- wikipedia
widget:
- text: <extra_id_0> hver uke samles Regjeringens medlemmer til Statsråd på <extra_id_1>. Dette organet er øverste <extra_id_2> i Norge. For at møtet skal være <extra_id_3>, må over halvparten av regjeringens <extra_id_4> ... |
connectivity/feather_berts_0 | 94d37ab096caabdeadb48adeac8d92c0b30363b7 | 2022-05-21T14:26:18.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | connectivity | null | connectivity/feather_berts_0 | 10 | null | transformers | 11,883 | Entry not found |
lucifermorninstar011/autotrain-lucifer_name-894029080 | 6580bb759039290e191215b65c2fce7de361ae37 | 2022-05-21T23:38:09.000Z | [
"pytorch",
"bert",
"token-classification",
"en",
"dataset:lucifermorninstar011/autotrain-data-lucifer_name-980af516",
"transformers",
"autotrain",
"co2_eq_emissions",
"autotrain_compatible"
] | token-classification | false | lucifermorninstar011 | null | lucifermorninstar011/autotrain-lucifer_name-894029080 | 10 | null | transformers | 11,884 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- lucifermorninstar011/autotrain-data-lucifer_name-980af516
co2_eq_emissions: 0.9017791642156402
---
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 894029080
- CO2 Emissions (in grams): 0.9017791642156402
... |
danieleV9H/hubert-base-libri-clean-ft100h-v3 | f76c1e266571407584957032da6ab7f6e6d543f0 | 2022-05-26T10:42:52.000Z | [
"pytorch",
"tensorboard",
"hubert",
"automatic-speech-recognition",
"en",
"dataset:librispeech_asr",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | danieleV9H | null | danieleV9H/hubert-base-libri-clean-ft100h-v3 | 10 | null | transformers | 11,885 | ---
license: apache-2.0
tags:
- generated_from_trainer
- hf-asr-leaderboard
- hf-asr-leaderboard
datasets:
- librispeech_asr
model-index:
- name: hubert-base-libri-clean-ft100h-v3
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: LibriSpeech
... |
DuboiJ/finetuning-sentiment-model-3000-samples | 086462f963b4a793f6aa71ee120a7441e8bfef02 | 2022-05-25T13:48:07.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | DuboiJ | null | DuboiJ/finetuning-sentiment-model-3000-samples | 10 | null | transformers | 11,886 | ---
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... |
orzhan/rut5-base-detox-v2 | dd6cb8d1ea4d90179053779fe377139f94e23018 | 2022-06-11T07:18:47.000Z | [
"pytorch",
"t5",
"text2text-generation",
"ru",
"transformers",
"PyTorch",
"Transformers",
"autotrain_compatible"
] | text2text-generation | false | orzhan | null | orzhan/rut5-base-detox-v2 | 10 | null | transformers | 11,887 | ---
language:
- ru
tags:
- PyTorch
- Transformers
---
# rut5-base-detox-v2
Model was fine-tuned from sberbank-ai/ruT5-base on parallel detoxification corpus.
* Task: `text2text generation`
* Type: `encoder-decoder`
* Tokenizer: `bpe`
* Dict size: `32 101`
* Num Parameters: `222 M`
|
Hamda/test-1-finetuned-AraBART | f2b89a45a72e1c5f34484b86a1360eca3da9ccfb | 2022-05-29T12:21:03.000Z | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Hamda | null | Hamda/test-1-finetuned-AraBART | 10 | null | transformers | 11,888 | Entry not found |
DuskSigma/DialogGPTHomerSimpson | 71e93f4062332eb2b51f6fa8795971713d19fdc4 | 2022-05-31T00:56:25.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | DuskSigma | null | DuskSigma/DialogGPTHomerSimpson | 10 | 1 | transformers | 11,889 | ---
tags:
- conversational
---
#Homer Simpson DialogGPT Model |
roshnir/mBert-finetuned-mlqa-dev-hi | a1e4855a3d4f35d6ec107ab5ea18837f29c22fb6 | 2022-06-01T19:24:41.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | roshnir | null | roshnir/mBert-finetuned-mlqa-dev-hi | 10 | null | transformers | 11,890 | Entry not found |
kktoto/tiny_kt_punctuator | 5cb023fee2e131ad38241a6b0e562b6030c57a9a | 2022-06-02T02:04:30.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | kktoto | null | kktoto/tiny_kt_punctuator | 10 | null | transformers | 11,891 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: tiny_kt_punctuator
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 commen... |
Jeevesh8/init_bert_ft_qqp-22 | cad4666abbe0793ea90ad26a0a72c38ea5678ad9 | 2022-06-02T12:40:51.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/init_bert_ft_qqp-22 | 10 | null | transformers | 11,892 | Entry not found |
Jeevesh8/init_bert_ft_qqp-59 | 96d09ede67b2103851c3990670febdba6ff1ba80 | 2022-06-02T12:39:31.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/init_bert_ft_qqp-59 | 10 | null | transformers | 11,893 | Entry not found |
Jeevesh8/init_bert_ft_qqp-48 | e8b3d062302ce6d91c785b14b848974ecb336fab | 2022-06-02T12:39:35.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/init_bert_ft_qqp-48 | 10 | null | transformers | 11,894 | Entry not found |
Jeevesh8/init_bert_ft_qqp-53 | 7f3a8e70c3a817a9793e402af7a6fa4cdc6d1cf4 | 2022-06-02T12:39:35.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/init_bert_ft_qqp-53 | 10 | null | transformers | 11,895 | Entry not found |
kaniku/xlm-roberta-large-indonesian-NER-finetuned-ner | faf781e70dd95b980d0b26de96afb84204c97357 | 2022-06-04T04:54:01.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | kaniku | null | kaniku/xlm-roberta-large-indonesian-NER-finetuned-ner | 10 | null | transformers | 11,896 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: xlm-roberta-large-indonesian-NER-finetuned-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... |
momo/KcBERT-base_Hate_speech_Privacy_Detection | 7a7c379e0022175a28f7d416e517b834cbdd33d6 | 2022-06-04T16:20:27.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"license:apache-2.0"
] | text-classification | false | momo | null | momo/KcBERT-base_Hate_speech_Privacy_Detection | 10 | null | transformers | 11,897 | ---
license: apache-2.0
---
|
mrcoombes/distilbert-wikipedia-pokemon | 5a244f3ecddeb268e2f6cf3730cae0b2543d18a6 | 2022-06-05T15:28:03.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | mrcoombes | null | mrcoombes/distilbert-wikipedia-pokemon | 10 | null | transformers | 11,898 | DistilBERT pokemon model (uncased)
This model is a distilled version of the BERT base model. It was introduced in this paper. The code for the distillation process can be found here. This model is uncased: it does not make a difference between english and English.
Model description
DistilBERT Wikipedia Pokemon model ... |
juancavallotti/t5-grammar-corruption-edits | f3d9f787914edd4c0026ed4c70ec0894685889b9 | 2022-06-07T00:54:34.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | juancavallotti | null | juancavallotti/t5-grammar-corruption-edits | 10 | null | transformers | 11,899 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-grammar-corruption-edits
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-gram... |
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