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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
anton-l/distilhubert-ft-keyword-spotting | a2c3a200d28ea8ddd3f1b8f098178ddc92805a74 | 2021-10-27T19:00:06.000Z | [
"pytorch",
"tensorboard",
"hubert",
"audio-classification",
"dataset:superb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | audio-classification | false | anton-l | null | anton-l/distilhubert-ft-keyword-spotting | 14 | null | transformers | 9,800 | ---
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
datasets:
- superb
metrics:
- accuracy
model-index:
- name: distilhubert-ft-keyword-spotting
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably ... |
anuragshas/wav2vec2-xls-r-1b-hi-with-lm | a1c61a357e267474d3f243982b8d98a453ad2aff | 2022-03-23T18:26:47.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"hi",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | anuragshas | null | anuragshas/wav2vec2-xls-r-1b-hi-with-lm | 14 | 1 | transformers | 9,801 | ---
language:
- hi
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- mozilla-foundation/common_voice_8_0
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
metrics:
- wer
model-index:
- name: XLS-R-1B - Hindi
results:
- task:
name: Auto... |
anzorq/t5-v1_1-small-ru_kbd-cased | f1b18523ddc629dbb3860faf5b80e3ee4f459586 | 2022-01-16T05:24:51.000Z | [
"pytorch",
"t5",
"text2text-generation",
"ru",
"kbd",
"dataset:anzorq/kbd-ru-1.67M-temp",
"dataset:17753 Russian-Kabardian pairs of text",
"transformers",
"translation",
"autotrain_compatible"
] | translation | false | anzorq | null | anzorq/t5-v1_1-small-ru_kbd-cased | 14 | null | transformers | 9,802 | ---
language:
- ru
- kbd
tags:
- translation
datasets:
- anzorq/kbd-ru-1.67M-temp
- 17753 Russian-Kabardian pairs of text
widget:
- text: "ru->kbd: Я иду домой."
example_title: "Я иду домой."
- text: "ru->kbd: Дети играют во дворе."
example_title: "Дети играют во дворе."
- text: "ru->kbd: Сколько тебе лет?"
examp... |
artemis13fowl/bert-finetuned-ner | a43f3802988799a28b1faef7c1896c762a185237 | 2022-01-22T10:35:22.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | artemis13fowl | null | artemis13fowl/bert-finetuned-ner | 14 | null | transformers | 9,803 | Entry not found |
asapp/sew-d-mid-100k | 5fcfbf9cf6a7c46ef5ac99320bfc3fbb81dbed5c | 2021-10-28T13:56:56.000Z | [
"pytorch",
"sew-d",
"feature-extraction",
"en",
"dataset:librispeech_asr",
"arxiv:2109.06870",
"transformers",
"speech",
"license:apache-2.0"
] | feature-extraction | false | asapp | null | asapp/sew-d-mid-100k | 14 | null | transformers | 9,804 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# SEW-D-mid
[SEW-D by ASAPP Research](https://github.com/asappresearch/sew)
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz. Note that this model... |
bayartsogt/structbert-large | 2cc408700d1f2c213e4fa7159f5c4fa66e76dc8a | 2021-07-26T21:15:28.000Z | [
"pytorch",
"bert",
"fill-mask",
"arxiv:1908.04577",
"transformers",
"autotrain_compatible"
] | fill-mask | false | bayartsogt | null | bayartsogt/structbert-large | 14 | null | transformers | 9,805 | # StructBERT: Un-Official Copy
Official Repository Link: https://github.com/alibaba/AliceMind/tree/main/StructBERT
**Claimer**
* This model card is not produced by [AliceMind Team](https://github.com/alibaba/AliceMind/)
## Reproduce HFHub models:
Download model/tokenizer vocab
```bash
wget https://raw.githubusercon... |
beomi/beep-koelectra-base-v3-discriminator-hate | 9c3b5123609877a71181cca0d3201a174b7bdaf6 | 2021-10-23T06:06:51.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | beomi | null | beomi/beep-koelectra-base-v3-discriminator-hate | 14 | null | transformers | 9,806 | Entry not found |
bhavikardeshna/multilingual-bert-base-cased-german | 4a990b0764095ef074fcb3fa10243efa38eeb422 | 2021-12-21T11:43:10.000Z | [
"pytorch",
"bert",
"question-answering",
"arxiv:2112.09866",
"transformers",
"autotrain_compatible"
] | question-answering | false | bhavikardeshna | null | bhavikardeshna/multilingual-bert-base-cased-german | 14 | null | transformers | 9,807 | # BibTeX entry and citation info
```
@misc{pandya2021cascading,
title={Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource Languages},
author={Hariom A. Pandya and Bhavik Ardeshna and Dr. Brijesh S. Bhatt},
year={2021},
eprint={2112.09866},... |
bioformers/bioformer-cased-v1.0-qnli | 6f1e92e54711c4dd603efab1feaceadf8c330abf | 2021-09-23T02:52:03.000Z | [
"pytorch",
"bert",
"text-classification",
"arxiv:1804.07461",
"transformers"
] | text-classification | false | bioformers | null | bioformers/bioformer-cased-v1.0-qnli | 14 | null | transformers | 9,808 | [bioformer-cased-v1.0](https://huggingface.co/bioformers/bioformer-cased-v1.0) fined-tuned on the [QNLI](https://huggingface.co/datasets/glue) dataset for 2 epochs.
The fine-tuning process was performed on two NVIDIA GeForce GTX 1080 Ti GPUs (11GB). The parameters are:
```
max_seq_length=512
per_device_train_batch_si... |
blanchefort/rubert-base-cased-sentiment-mokoron | 6473a1c7f0eb1912745d8501144c507f2b484cc8 | 2021-05-19T13:00:13.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"ru",
"dataset:RuTweetCorp",
"transformers",
"sentiment"
] | text-classification | false | blanchefort | null | blanchefort/rubert-base-cased-sentiment-mokoron | 14 | null | transformers | 9,809 | ---
language:
- ru
tags:
- sentiment
- text-classification
datasets:
- RuTweetCorp
---
# RuBERT for Sentiment Analysis of Tweets
This is a [DeepPavlov/rubert-base-cased-conversational](https://huggingface.co/DeepPavlov/rubert-base-cased-conversational) model trained on [RuTweetCorp](https://study.mokoron.com/).
## L... |
blizrys/biobert-base-cased-v1.1-finetuned-pubmedqa | 7e208b19476da4116d5792935c54c4a4a5574794 | 2021-09-12T15:54:21.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | blizrys | null | blizrys/biobert-base-cased-v1.1-finetuned-pubmedqa | 14 | null | transformers | 9,810 | ---
tags:
- generated_from_trainer
datasets:
- null
metrics:
- accuracy
model-index:
- name: biobert-base-cased-v1.1-finetuned-pubmedqa
results:
- task:
name: Text Classification
type: text-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.5
---
<!-- This model card h... |
boronbrown48/1_model_topic_classification_v2 | c826e738108c7332f29269c2a45a3917233ede46 | 2021-12-10T16:13:27.000Z | [
"pytorch",
"camembert",
"text-classification",
"transformers"
] | text-classification | false | boronbrown48 | null | boronbrown48/1_model_topic_classification_v2 | 14 | null | transformers | 9,811 | Entry not found |
bypequeno/DialoGPT-small-michaelscott | 07b21d8ca02f98a228558c6630ae6ec5f164f27b | 2022-01-25T23:01:50.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | bypequeno | null | bypequeno/DialoGPT-small-michaelscott | 14 | null | transformers | 9,812 | ---
tags:
- conversational
---
# Michael Scott dialog model |
cahya/wav2vec2-large-xlsr-turkish-artificial | d93d3b7e1822eb1c31e59ceefef4a6a11843289d | 2021-07-06T00:04:36.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"tr",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | cahya | null | cahya/wav2vec2-large-xlsr-turkish-artificial | 14 | 1 | transformers | 9,813 | ---
language: tr
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Turkish with Artificial Voices by Cahya
results:
- task:
name: Speech Recognition
type: automatic-speech-recogni... |
carlosaguayo/distilbert-base-uncased-finetuned-emotion | 431d72b2184faba4ba6c4c76fb66427512c28bce | 2022-07-13T14:50:13.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | carlosaguayo | null | carlosaguayo/distilbert-base-uncased-finetuned-emotion | 14 | null | transformers | 9,814 | ---
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... |
cemdenizsel/10k-finetuned-bert-model | 379b77d2ffc148caf5d6a59eb715a2925cd04f7d | 2021-05-28T15:09:45.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | cemdenizsel | null | cemdenizsel/10k-finetuned-bert-model | 14 | null | transformers | 9,815 | Entry not found |
chgk13/tiny_russian_toxic_bert | e3e1b2b782bfb88e961f8d754931f57722fbcb15 | 2022-01-30T09:49:30.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | chgk13 | null | chgk13/tiny_russian_toxic_bert | 14 | null | transformers | 9,816 | Entry not found |
chinhon/pegasus-multi_news-malay_headlines_02 | dc21808d1bcdd6ba0f01419423842b9faaa543df | 2021-11-13T18:40:42.000Z | [
"pytorch",
"tensorboard",
"pegasus",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | chinhon | null | chinhon/pegasus-multi_news-malay_headlines_02 | 14 | null | transformers | 9,817 | ---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-multi_news-malay_headlines_02
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. -->
# ... |
chrisliu298/arxiv_ai_gpt2 | 271fd3cbffcdcac20b87df6dc804fb6b9fcf7483 | 2021-05-21T14:59:11.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:https://github.com/staeiou/arxiv_archive/tree/v1.0.1",
"transformers",
"arxiv"
] | text-generation | false | chrisliu298 | null | chrisliu298/arxiv_ai_gpt2 | 14 | null | transformers | 9,818 | ---
language: "en"
tags:
- gpt2
- arxiv
- transformers
datasets:
- https://github.com/staeiou/arxiv_archive/tree/v1.0.1
---
# ArXiv AI GPT-2
## Model description
This GPT-2 (774M) model is capable of generating abstracts given paper titles. It was trained using all research paper titles and abstracts under artificia... |
codegram/calbert-base-uncased | 39f73fa3b23a980fc195fb15fd8a108759ceb34e | 2020-12-11T21:36:11.000Z | [
"pytorch",
"albert",
"ca",
"transformers",
"masked-lm",
"catalan",
"exbert",
"license:mit"
] | null | false | codegram | null | codegram/calbert-base-uncased | 14 | 1 | transformers | 9,819 | ---
language: "ca"
tags:
- masked-lm
- catalan
- exbert
license: mit
---
# Calbert: a Catalan Language Model
## Introduction
CALBERT is an open-source language model for Catalan pretrained on the ALBERT architecture.
It is now available on Hugging Face in its `tiny-uncased` version and `base-uncased` (the one... |
coldfir3/distilbert-base-uncased-finetuned-emotion | 368cafd5954bd36d499d2902b782533bb63273fb | 2022-07-13T12:50:37.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | coldfir3 | null | coldfir3/distilbert-base-uncased-finetuned-emotion | 14 | null | transformers | 9,820 | ---
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... |
cvcio/roberta-el-news | 338812f7313c3dc0241e60c401b87026c43cd7ff | 2022-02-19T09:58:16.000Z | [
"pytorch",
"roberta",
"fill-mask",
"el",
"transformers",
"generated_from_trainer",
"Greek",
"news",
"license:gpl-3.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | cvcio | null | cvcio/roberta-el-news | 14 | null | transformers | 9,821 | ---
language: el
license: gpl-3.0
tags:
- generated_from_trainer
- roberta
- Greek
- news
- transformers
model-index:
- name: roberta-el-news
results: []
widget:
- text: "Η κυβέρνηση μουδιασμένη από τη <mask> της έκθεσης Τσιόδρα-Λύτρα, επιχειρεί χωρίς να απαντά ουσιαστικά να ρίξει ευθύνες στον ΣΥΡΙΖΑ, που κυβερνούσε... |
d42kw01f/Sinhala-RoBERTa | 5b3c8e5d1732e7894dff1c45f4c9ea5b03cfbf13 | 2021-11-06T20:09:43.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | d42kw01f | null | d42kw01f/Sinhala-RoBERTa | 14 | null | transformers | 9,822 | # Description:
This is a smaller per-trained model on Sinhalese Language using Masked Language Modeling(MLM). And the model is trained on Oscar Sinhala dataset.
# How to Use:
The model can be used directly with a pipeline for masked language modeling:
```python
>>> from transformers import AutoTokenizer, AutoModelFor... |
damien-ir/kosentelectra-discriminator-v2-mixed | 650222d672752e55620fd09acfd04366efa12e5c | 2020-10-06T03:22:29.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | damien-ir | null | damien-ir/kosentelectra-discriminator-v2-mixed | 14 | null | transformers | 9,823 | Entry not found |
danchang11/GPT2-TraditionalChat | 886855011bced5c8cf73e5290896901f556f7170 | 2021-12-04T13:14:24.000Z | [
"pytorch",
"gpt2",
"transformers",
"text-generation"
] | text-generation | false | danchang11 | null | danchang11/GPT2-TraditionalChat | 14 | null | transformers | 9,824 | ---
tags:
- text-generation
---
#dialogue |
dbdmg/wav2vec2-xls-r-300m-italian | ea24a93313bd48aced4943013d19625e1add554b | 2022-03-23T18:28:45.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"it",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_7_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | dbdmg | null | dbdmg/wav2vec2-xls-r-300m-italian | 14 | 1 | transformers | 9,825 | ---
language:
- it
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- mozilla-foundation/common_voice_7_0
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: XLS-R-300m - Italian
results:
- task:
name: Automatic Speec... |
deval/bert-base-NER-finetuned-ner | 80c7c1074771c24bf967824a1168fdea6dc6b459 | 2021-09-20T16:15:04.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:x_glue",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | deval | null | deval/bert-base-NER-finetuned-ner | 14 | null | transformers | 9,826 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- x_glue
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-NER-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: x_glue
type: x_glue
args: ner
... |
dhtocks/tunib-electra-stereotype-classifier | 5bad472a25ae47fb67af405224f01ae852ddf8dd | 2021-10-14T10:03:57.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | dhtocks | null | dhtocks/tunib-electra-stereotype-classifier | 14 | null | transformers | 9,827 | ### TUNiB-Electra Stereotype Detector
Finetuned TUNiB-Electra base with K-StereoSet.
Original Code: https://github.com/newfull5/Stereotype-Detector |
doc2query/reddit-t5-base-v1 | 89082475ea6139380955db2b764b28e7ea2c365c | 2021-10-27T09:56:25.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:datasets/sentence-transformers/reddit-title-body",
"arxiv:1904.08375",
"arxiv:2104.08663",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | doc2query | null | doc2query/reddit-t5-base-v1 | 14 | null | transformers | 9,828 | ---
language: en
datasets:
- datasets/sentence-transformers/reddit-title-body
widget:
- text: "Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-ori... |
doc2query/yahoo_answers-t5-base-v1 | 2be2bae3b0a21125c6e18eb79f38929f9539d002 | 2021-10-27T12:56:48.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:datasets/sentence-transformers/embedding-training-data",
"arxiv:1904.08375",
"arxiv:2104.08663",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | doc2query | null | doc2query/yahoo_answers-t5-base-v1 | 14 | null | transformers | 9,829 | ---
language: en
datasets:
- datasets/sentence-transformers/embedding-training-data
widget:
- text: "Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and obje... |
elena-soare/t5-base-ecommerce | fe6e16ef96ae9813b71f4de8337dc6e38e822986 | 2022-02-22T18:19:10.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | elena-soare | null | elena-soare/t5-base-ecommerce | 14 | null | transformers | 9,830 | T5 pre-trained on e-commerce data |
eltoto1219/lxmert-gqa-untuned | 8065c198e534891e59c3865778e97bd819971481 | 2020-09-07T09:03:00.000Z | [
"pytorch",
"lxmert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | eltoto1219 | null | eltoto1219/lxmert-gqa-untuned | 14 | null | transformers | 9,831 | Entry not found |
emrecan/bert-base-multilingual-cased-snli_tr | 52a34181e34871ee4e344ec22024436f6b710670 | 2021-12-01T19:43:01.000Z | [
"pytorch",
"bert",
"text-classification",
"tr",
"dataset:nli_tr",
"transformers",
"zero-shot-classification",
"nli",
"license:apache-2.0"
] | zero-shot-classification | false | emrecan | null | emrecan/bert-base-multilingual-cased-snli_tr | 14 | null | transformers | 9,832 | ---
language:
- tr
tags:
- zero-shot-classification
- nli
- pytorch
pipeline_tag: zero-shot-classification
license: apache-2.0
datasets:
- nli_tr
widget:
- text: "Dolar yükselmeye devam ediyor."
candidate_labels: "ekonomi, siyaset, spor"
- text: "Senaryo çok saçmaydı, beğendim diyemem."
candidate_labels: "olumlu, o... |
emrecan/convbert-base-turkish-mc4-cased-multinli_tr | f66dade2e8b4989ef6ed3700ddaaae438d2a29ad | 2021-12-01T19:44:01.000Z | [
"pytorch",
"convbert",
"text-classification",
"tr",
"dataset:nli_tr",
"transformers",
"zero-shot-classification",
"nli",
"license:apache-2.0"
] | zero-shot-classification | false | emrecan | null | emrecan/convbert-base-turkish-mc4-cased-multinli_tr | 14 | null | transformers | 9,833 | ---
language:
- tr
tags:
- zero-shot-classification
- nli
- pytorch
pipeline_tag: zero-shot-classification
license: apache-2.0
datasets:
- nli_tr
widget:
- text: "Dolar yükselmeye devam ediyor."
candidate_labels: "ekonomi, siyaset, spor"
- text: "Senaryo çok saçmaydı, beğendim diyemem."
candidate_labels: "olumlu, o... |
ensamblador/gpt2_espanol_8hx512pos | d66fc91e911078ab71d8a74663668804f47d20b2 | 2021-05-21T15:57:50.000Z | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | ensamblador | null | ensamblador/gpt2_espanol_8hx512pos | 14 | null | transformers | 9,834 | Entry not found |
ericzhou/tsundere_v1 | 15f1f88d1b6d1334410eaaac01e825bc95d22743 | 2022-02-05T03:36:44.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ericzhou | null | ericzhou/tsundere_v1 | 14 | null | transformers | 9,835 | ---
tags:
- conversational
--- |
exafluence/BERT-ClinicalQA | ebf29b0dce258764921c2c7d1f6bdf82efd29a92 | 2021-10-19T01:56:17.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | exafluence | null | exafluence/BERT-ClinicalQA | 14 | null | transformers | 9,836 | Entry not found |
facebook/s2t-small-mustc-en-es-st | df68b5aec8a734d7f7012ca1b11759b8c2a4b4c3 | 2022-02-07T15:16:46.000Z | [
"pytorch",
"tf",
"speech_to_text",
"automatic-speech-recognition",
"en",
"es",
"dataset:mustc",
"arxiv:2010.05171",
"arxiv:1904.08779",
"transformers",
"audio",
"speech-translation",
"license:mit"
] | automatic-speech-recognition | false | facebook | null | facebook/s2t-small-mustc-en-es-st | 14 | null | transformers | 9,837 | ---
language:
- en
- es
datasets:
- mustc
tags:
- audio
- speech-translation
- automatic-speech-recognition
license: mit
pipeline_tag: automatic-speech-recognition
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
sr... |
federicopascual/finetuning-sentiment-analysis-model-3000-samples | 6665ee129a6307e613ff9efad1b1e6c1da8cfc3c | 2021-12-30T20:32:34.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | federicopascual | null | federicopascual/finetuning-sentiment-analysis-model-3000-samples | 14 | null | transformers | 9,838 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-analysis-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_tex... |
flax-community/gpt-neo-1.3B-apps-all | 89ca5aa4a3511ff4db62a7030627f60058bd5106 | 2021-09-22T08:25:24.000Z | [
"pytorch",
"jax",
"tensorboard",
"gpt_neo",
"text-generation",
"en",
"python",
"dataset:apps",
"arxiv:2107.03374",
"transformers",
"code_synthesis",
"license:mit"
] | text-generation | false | flax-community | null | flax-community/gpt-neo-1.3B-apps-all | 14 | 2 | transformers | 9,839 | ---
language:
- en
- python
license: mit
tags:
- gpt_neo
- code_synthesis
datasets:
- apps
---
# GPT-Neo-1.3B-APPS-all
> **Please refer to our new [GitHub Wiki](https://github.com/ncoop57/gpt-code-clippy/wiki) which documents our efforts in detail in creating the open source version of GitHub Copilot**
## Model Desc... |
flax-community/gpt2-persian-question-answering | 253942e068bfda609ed0395439a8200fd0e195cf | 2021-07-16T22:27:57.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"gpt2",
"text-generation",
"fa",
"dataset:persian_qa",
"transformers"
] | text-generation | false | flax-community | null | flax-community/gpt2-persian-question-answering | 14 | 1 | transformers | 9,840 | ---
language: fa
tags:
- text-generation
datasets:
- persian_qa
widget:
- text: "ناف جایی قرار گرفته که در واقع بندناف در داخل رحم در آنجا به شکم جنین وصل بودهاست. بندناف که جفت را به جنین متصل کرده بعد از تولد از نوزاد جدا میشود. برای جدا کردن بند ناف از دو پنس استفاده میکنند و بین آن دو را میبرند. پنس دیگری نزدیک... |
flax-community/roberta-base-danish | 6f322ced15675ac85f89ae401bd1648b5236d81b | 2021-09-23T13:54:11.000Z | [
"pytorch",
"jax",
"tensorboard",
"roberta",
"fill-mask",
"da",
"transformers",
"danish",
"license:cc-by-4.0",
"autotrain_compatible"
] | fill-mask | false | flax-community | null | flax-community/roberta-base-danish | 14 | null | transformers | 9,841 | ---
language: da
license: cc-by-4.0
tags:
- danish
- roberta
pipeline_tag: fill-mask
widget:
- text: På biblioteket kan du låne en <mask>.
---
# RøBÆRTa - Danish Roberta Base
## Description
RøBÆRTa is a danish pretrained Roberta base model. RøBÆRTa was pretrained on the danish mC4 dataset during the flax community ... |
flax-community/t5-base-dutch-demo | aa1060eea8f3c5f3151fcfc710ddcb45273afa37 | 2021-07-21T07:14:50.000Z | [
"pytorch",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"dutch",
"dataset:cnn_dailymail",
"dataset:xsum",
"transformers",
"summarization",
"seq2seq",
"text-generation",
"autotrain_compatible"
] | text2text-generation | false | flax-community | null | flax-community/t5-base-dutch-demo | 14 | null | transformers | 9,842 | ---
language:
- dutch
tags:
- summarization
- seq2seq
- text-generation
datasets:
- cnn_dailymail
- xsum
pipeline_tag: text2text-generation
widget:
- text: "Onderzoekers ontdekten dat vier van de vijf kinderen in Engeland die op school lunches hadden gegeten, op school voedsel hadden geprobeerd dat ze thuis niet hadde... |
ghadeermobasher/BC4_Modified-biobert-v1.1 | 6f6ba75fbb3f94085b7faa9d8df3c833e6e43952 | 2022-02-22T20:23:58.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4_Modified-biobert-v1.1 | 14 | null | transformers | 9,843 | Entry not found |
ghadeermobasher/BC5CDR-Chem-Modified_bluebert_pubmed_uncased_L-12_H-768_A-12_latest | 5c011fd0e99c626b7d655302f98b1be30528d87b | 2022-02-21T22:13:52.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chem-Modified_bluebert_pubmed_uncased_L-12_H-768_A-12_latest | 14 | null | transformers | 9,844 | Entry not found |
google/t5-efficient-tiny-nh1 | 2b2cdc23e8f0fa26ba471bd78880cc52bd8104d1 | 2022-02-15T10:57:15.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-tiny-nh1 | 14 | null | transformers | 9,845 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-TINY-NH1 (Deep-Narrow version)
T5-Efficient-TINY-NH1 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architecture]... |
gustavecortal/T0_3B-8bit | 91ebeda86dc1aa840c56c2238cad4fd241e0a44c | 2022-03-04T10:32:31.000Z | [
"pytorch",
"t5",
"text2text-generation",
"fr",
"dataset:bigscience/P3",
"arxiv:2110.08207",
"transformers",
"en",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | gustavecortal | null | gustavecortal/T0_3B-8bit | 14 | 4 | transformers | 9,846 | ---
language: fr
license: mit
tags:
- en
datasets:
- bigscience/P3
---
### Quantized BigScience's T0 3B with 8-bit weights
This is a version of [BigScience's T0](https://huggingface.co/bigscience/T0_3B) with 3 billion parameters that is modified so you can generate **and fine-tune the model in colab or equivalent de... |
haji2438/bertweet-base-finetuned-SNS-brand-personality | 7490a99520656b122837e8b37311ec9a6fb58818 | 2022-01-09T03:24:39.000Z | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | fill-mask | false | haji2438 | null | haji2438/bertweet-base-finetuned-SNS-brand-personality | 14 | null | transformers | 9,847 | ---
tags:
- generated_from_trainer
model-index:
- name: bertweet-base-finetuned-SNS-brand-personality
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bertweet-... |
heabeoun/DiabloGPT-small-nuon-conv | 1a07fefac21f48e2bfe0f3d0f6d90e668c4e9aab | 2022-02-09T02:31:56.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | heabeoun | null | heabeoun/DiabloGPT-small-nuon-conv | 14 | null | transformers | 9,848 | ---
tags:
- conversational
---
# diablo GPT random |
hf-test/xls-r-300m-sv | 93e2b8ad1e01b2ed26d08abb46add72d6ceee748 | 2022-03-28T20:07:57.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"sv-SE",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"hello",
"model_for_talk",
"mozilla-foundation/common_voice_7_0",
"robust-speech-event",
"sv",
"li... | automatic-speech-recognition | false | hf-test | null | hf-test/xls-r-300m-sv | 14 | 2 | transformers | 9,849 | ---
language:
- sv-SE
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- hello
- model_for_talk
- mozilla-foundation/common_voice_7_0
- robust-speech-event
- sv
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: XLS-R-300M - Swedish
results:
- ... |
hiiamsid/BETO_es_binary_classification | 83699a5e8e265d5248eab86e59b1a96fc0888f73 | 2021-09-23T11:16:37.000Z | [
"pytorch",
"bert",
"text-classification",
"es",
"dataset:self made to classify whether text is related to technology or not.",
"transformers",
"ticket classification",
"license:apache-2.0"
] | text-classification | false | hiiamsid | null | hiiamsid/BETO_es_binary_classification | 14 | 2 | transformers | 9,850 | ---
language:
- es
tags:
- es
- ticket classification
license: "apache-2.0"
datasets:
- self made to classify whether text is related to technology or not.
metrics:
- fscore
- accuracy
- precision
- recall
---
# BETO(cased)
This model was built using pytorch.
## Model description
Input for the model: Any spanish text
O... |
hoanhkhoa/bert-base-uncased-finetuned-ner | 2d02d3e486b52bb9ab7180a7daa0e27667a67e96 | 2021-08-17T03:17:22.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | hoanhkhoa | null | hoanhkhoa/bert-base-uncased-finetuned-ner | 14 | null | transformers | 9,851 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- null
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: bert-base-uncased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
metric:
name: Accuracy
type: accuracy
va... |
huggingartists/melanie-martinez | c06dc0052b57ab966c0dc64c0a269f6a794ee001 | 2021-09-19T17:22:10.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:huggingartists/melanie-martinez",
"transformers",
"huggingartists",
"lyrics",
"lm-head",
"causal-lm"
] | text-generation | false | huggingartists | null | huggingartists/melanie-martinez | 14 | null | transformers | 9,852 | ---
language: en
datasets:
- huggingartists/melanie-martinez
tags:
- huggingartists
- lyrics
- lm-head
- causal-lm
widget:
- text: "I am"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px;... |
huggingface/funnel-small-base | ac5132872928a3a38977b6a644bddbd564edd5ff | 2020-08-31T23:51:41.000Z | [
"pytorch",
"funnel",
"feature-extraction",
"transformers"
] | feature-extraction | false | huggingface | null | huggingface/funnel-small-base | 14 | null | transformers | 9,853 | Entry not found |
huggingface-course/bert-finetuned-ner-accelerate | 7f4db82b7b29a428b52ab0a65e25b1d240f1a63d | 2021-10-07T14:07:48.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | huggingface-course | null | huggingface-course/bert-finetuned-ner-accelerate | 14 | null | transformers | 9,854 | Entry not found |
huggingtweets/afm_marketing | aa48f49db5b0dc1104088189e5fa9952522d1acb | 2021-12-02T01:51:26.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/afm_marketing | 14 | null | transformers | 9,855 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... |
huggingtweets/cocacola | 8324a6aec25f3220f8f2a001d383c75b99462eec | 2021-06-25T16:35:10.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/cocacola | 14 | null | transformers | 9,856 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... |
huggingtweets/joebiden-potus | 9cf7391362d72de85f405450d6eb2dbea773d7f5 | 2021-06-09T15:51:59.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/joebiden-potus | 14 | null | transformers | 9,857 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... |
huggingtweets/johnowhitaker | 1a1aec15cb476379db862450b9c0bbdd0ac45c7e | 2021-08-11T10:36:34.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/johnowhitaker | 14 | null | transformers | 9,858 | ---
language: en
thumbnail: https://www.huggingtweets.com/johnowhitaker/1628678191103/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; ... |
iarfmoose/roberta-base-bulgarian-pos | 3465e385a9a61045c61bc48b963fef1f2be991eb | 2021-05-20T16:49:07.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"token-classification",
"bg",
"arxiv:1907.11692",
"transformers",
"autotrain_compatible"
] | token-classification | false | iarfmoose | null | iarfmoose/roberta-base-bulgarian-pos | 14 | null | transformers | 9,859 | ---
language: bg
---
# RoBERTa-base-bulgarian-POS
The RoBERTa model was originally introduced in [this paper](https://arxiv.org/abs/1907.11692). This model is a version of [RoBERTa-base-Bulgarian](https://huggingface.co/iarfmoose/roberta-base-bulgarian) fine-tuned for part-of-speech tagging.
## Intended us... |
iarfmoose/roberta-small-bulgarian-pos | 47b521b0fcd0275a142c92268fd628e96541441f | 2021-05-20T16:52:10.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"token-classification",
"bg",
"arxiv:1907.11692",
"transformers",
"autotrain_compatible"
] | token-classification | false | iarfmoose | null | iarfmoose/roberta-small-bulgarian-pos | 14 | 1 | transformers | 9,860 | ---
language: bg
---
# RoBERTa-small-bulgarian-POS
The RoBERTa model was originally introduced in [this paper](https://arxiv.org/abs/1907.11692). This model is a version of [RoBERTa-small-Bulgarian](https://huggingface.co/iarfmoose/roberta-small-bulgarian) fine-tuned for part-of-speech tagging.
## Intended... |
ielab/TILDEv2-TILDE200-exp | 390e5de269cfbef944423cd375f1b8e46384645c | 2021-10-31T13:50:55.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | ielab | null | ielab/TILDEv2-TILDE200-exp | 14 | null | transformers | 9,861 | TILDEv2 trained with passages expand with TILDE (m=200) |
ietz/comment-linking-distilbert-base-german-cased | 901728b6dfde80b7e8b9cdb8c8609e2f7e82568d | 2020-10-22T17:41:09.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | ietz | null | ietz/comment-linking-distilbert-base-german-cased | 14 | null | transformers | 9,862 | Entry not found |
infinitejoy/wav2vec2-large-xls-r-300m-armenian | 700595bd88ddafe6f8bbfda84c7627b0621812fb | 2022-03-24T11:55:39.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"hy-AM",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"mozilla-foundation/common_voice_7_0",
"generated_from_trainer",
"robust-speech-event",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | infinitejoy | null | infinitejoy/wav2vec2-large-xls-r-300m-armenian | 14 | null | transformers | 9,863 | ---
language:
- hy-AM
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_7_0
- generated_from_trainer
- robust-speech-event
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: XLS-R-300M - Armenian
results:
- task:
name: Automatic S... |
infinitejoy/wav2vec2-large-xls-r-300m-bulgarian | fa202d261efd557145f4d957759e4e2f119add7c | 2022-03-24T11:47:30.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"bg",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"mozilla-foundation/common_voice_7_0",
"generated_from_trainer",
"robust-speech-event",
"model_for_talk",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | infinitejoy | null | infinitejoy/wav2vec2-large-xls-r-300m-bulgarian | 14 | 1 | transformers | 9,864 | ---
language:
- bg
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_7_0
- generated_from_trainer
- bg
- robust-speech-event
- model_for_talk
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: XLS-R-300M - Bulgarian
results:
- task:
... |
it5/mt5-base-news-summarization | fc828f00595bf8c1b0148aa8018c3934b3d05a04 | 2022-03-09T07:51:55.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"mt5",
"text2text-generation",
"it",
"dataset:ARTeLab/fanpage",
"dataset:ARTeLab/ilpost",
"arxiv:2203.03759",
"transformers",
"italian",
"sequence-to-sequence",
"fanpage",
"ilpost",
"summarization",
"license:apache-2.0",
"model-index",
"co2_... | summarization | false | it5 | null | it5/mt5-base-news-summarization | 14 | null | transformers | 9,865 | ---
language:
- it
license: apache-2.0
datasets:
- ARTeLab/fanpage
- ARTeLab/ilpost
tags:
- italian
- sequence-to-sequence
- fanpage
- ilpost
- summarization
widget:
- text: "Non lo vuole sposare. E’ quanto emerge all’interno dell’ultima intervista di Raffaella Fico che, ringraziando Mancini per i buoni consigli elargi... |
jannesg/takalane_afr_roberta | 728703455b883cc6b7f5001f306c460b286b3fe0 | 2021-09-22T08:51:59.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"af",
"transformers",
"masked-lm",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | jannesg | null | jannesg/takalane_afr_roberta | 14 | null | transformers | 9,866 | ---
language:
- af
thumbnail: https://pbs.twimg.com/media/EVjR6BsWoAAFaq5.jpg
tags:
- af
- fill-mask
- pytorch
- roberta
- masked-lm
license: mit
---
# Takalani Sesame - Salie - Afrikaans 🇿🇦
<img src="https://pbs.twimg.com/media/EVjR6BsWoAAFaq5.jpg" width="600"/>
## Model description
Takalani Sesame (named after... |
jcblaise/electra-tagalog-base-cased-generator | e58b2d50c2693be2dc48ddc4fb8330c93a8b549e | 2021-11-11T06:19:45.000Z | [
"pytorch",
"electra",
"fill-mask",
"tl",
"transformers",
"tagalog",
"filipino",
"license:gpl-3.0",
"autotrain_compatible"
] | fill-mask | false | jcblaise | null | jcblaise/electra-tagalog-base-cased-generator | 14 | null | transformers | 9,867 | ---
language: tl
tags:
- electra
- tagalog
- filipino
license: gpl-3.0
inference: false
---
# ELECTRA Tagalog Base Cased Generator
Tagalog ELECTRA model pretrained with a large corpus scraped from the internet. This model is part of a larger research project. We open-source the model to allow greater usage within the ... |
junnyu/roformer_small_generator | ab9a762f22c2f2c8071cf1e50880e9522eb5eb33 | 2021-09-22T08:54:25.000Z | [
"pytorch",
"roformer",
"fill-mask",
"en",
"dataset:openwebtext",
"transformers",
"electra",
"masked-lm",
"rotary position embedding",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | junnyu | null | junnyu/roformer_small_generator | 14 | null | transformers | 9,868 | ---
language: en
thumbnail: https://github.com/junnyu
tags:
- pytorch
- electra
- masked-lm
- rotary position embedding
widget:
- text: Paris is the [MASK] of France.
license: mit
datasets:
- openwebtext
---
# 一、 个人在openwebtext数据集上添加rotary-position-embedding，训练得到的electra-small模型
# 二、 复现结果(dev dataset)
|Model|CoLA|SST|... |
kingabzpro/wav2vec2-urdu | 3782bfddee2a0d155414e1da9c4217c1a65b4f95 | 2022-03-23T18:27:25.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ur",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"hf-asr-leaderboard",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | kingabzpro | null | kingabzpro/wav2vec2-urdu | 14 | null | transformers | 9,869 | ---
language:
- ur
license: apache-2.0
tags:
- automatic-speech-recognition
- hf-asr-leaderboard
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_7_0
metrics:
- wer
- cer
model-index:
- name: wav2vec2-urdu
results:
- task:
type: automatic-speech-recognition
name: Speech Recognition
... |
krlng/sts-GBERT-bi-encoder | 80f9a1ffa1dd01aac389f59883f0156fa6bc5dc3 | 2021-09-07T15:02:07.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | krlng | null | krlng/sts-GBERT-bi-encoder | 14 | null | sentence-transformers | 9,870 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sts-GBERT-bi-encoder
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks lik... |
laboro-ai/distilbert-base-japanese-finetuned-ddqa | baf532fa7bd1fa6ea44ab069db5b5351d59277b6 | 2020-12-18T03:10:13.000Z | [
"pytorch",
"distilbert",
"question-answering",
"ja",
"transformers",
"license:cc-by-nc-4.0",
"autotrain_compatible"
] | question-answering | false | laboro-ai | null | laboro-ai/distilbert-base-japanese-finetuned-ddqa | 14 | 1 | transformers | 9,871 | ---
language: ja
tags:
- distilbert
license: cc-by-nc-4.0
---
|
lgris/bp500-xlsr | 8defc1df867be01167ab65ec6ad3c55c6576914d | 2022-04-01T20:33:47.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"pt",
"dataset:common_voice",
"dataset:mls",
"dataset:cetuc",
"dataset:lapsbm",
"dataset:voxforge",
"dataset:tedx",
"dataset:sid",
"arxiv:2012.03411",
"transformers",
"audio",
"speech",
"portuguese-speech-corpus",
"PyTorch",
"h... | automatic-speech-recognition | false | lgris | null | lgris/bp500-xlsr | 14 | 1 | transformers | 9,872 | ---
language: pt
datasets:
- common_voice
- mls
- cetuc
- lapsbm
- voxforge
- tedx
- sid
metrics:
- wer
tags:
- audio
- speech
- wav2vec2
- pt
- portuguese-speech-corpus
- automatic-speech-recognition
- speech
- PyTorch
- hf-asr-leaderboard
model-index:
- name: bp400-xlsr
results:
- task:
name: Automatic Spe... |
liaad/srl-pt_bertimbau-large | ae2c786be53e69d02fbd923273bbfa92148c6184 | 2021-09-22T08:56:28.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"multilingual",
"pt",
"dataset:PropBank.Br",
"arxiv:2101.01213",
"transformers",
"bert-large-portuguese-cased",
"semantic role labeling",
"finetuned",
"license:apache-2.0"
] | feature-extraction | false | liaad | null | liaad/srl-pt_bertimbau-large | 14 | 1 | transformers | 9,873 | ---
language:
- multilingual
- pt
tags:
- bert-large-portuguese-cased
- semantic role labeling
- finetuned
license: apache-2.0
datasets:
- PropBank.Br
metrics:
- F1 Measure
---
# BERTimbau large fine-tuned on Portuguese semantic role labeling
## Model description
This model is the [`neuralmind/bert-large-portuguese-... |
mbeukman/xlm-roberta-base-finetuned-kinyarwanda-finetuned-ner-kinyarwanda | 514f79fae0ced7d927aebfdb20804cbfe75ca9c5 | 2021-11-25T09:04:05.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"rw",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-kinyarwanda-finetuned-ner-kinyarwanda | 14 | null | transformers | 9,874 | ---
language:
- rw
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Ambasaderi wa EU mu Rwanda , Nicola Bellomo yagize ati “ Inkunga yacu ni imwe mu nkunga yagutse yiswe # TeamEurope ."
---
# xlm-roberta-base-finetuned-kinyarwanda-finetuned-ner-kinyarwanda
This is a token clas... |
mbeukman/xlm-roberta-base-finetuned-naija-finetuned-ner-swahili | b5779a26afab96ea7d567cbad1019f8ae17d4b10 | 2021-11-25T09:04:22.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"sw",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-naija-finetuned-ner-swahili | 14 | null | transformers | 9,875 | ---
language:
- sw
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi wamepata maambukizi ya Covid - 19 ."
---
# xlm-roberta-base-finetuned-naija-finetuned-ner-swahili
This is a token classification (spe... |
miguelvictor/python-gpt2-medium | 5f70aa97c3637b414a4fdc9469435e7c4d494a70 | 2021-05-23T09:34:26.000Z | [
"pytorch",
"jax",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | miguelvictor | null | miguelvictor/python-gpt2-medium | 14 | null | transformers | 9,876 | Entry not found |
nikunjbjj/jd-resume-model | f04e1548d969e3cf05c97093f36835bb82a2dc1d | 2021-05-20T01:50:03.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | nikunjbjj | null | nikunjbjj/jd-resume-model | 14 | null | transformers | 9,877 | # Sentiment Analysis in Spanish
## beto-sentiment-analysis
Repository: [https://github.com/finiteautomata/pysentimiento/](https://github.com/finiteautomata/pysentimiento/)
Model trained with TASS 2020 corpus (around ~5k tweets) of several dialects of Spanish. Base model is [BETO](https://github.com/dccuchile/beto), a B... |
orendar/language_model | be83c4a7278ea793c995a1689ce37d1ea247d00f | 2021-06-09T06:42:58.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | orendar | null | orendar/language_model | 14 | null | transformers | 9,878 | Entry not found |
patrickvonplaten/phoneme_test_5_sv | bd3fb524c36cc5695f3bee7e158600e0842e4908 | 2021-12-08T17:13:24.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:multilingual_librispeech",
"transformers",
"multilingual_librispeech",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/phoneme_test_5_sv | 14 | null | transformers | 9,879 | ---
license: apache-2.0
tags:
- automatic-speech-recognition
- multilingual_librispeech
- generated_from_trainer
datasets:
- multilingual_librispeech
model-index:
- name: wav2vec2-300m-mls-german-ft
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had acc... |
patrickvonplaten/reformer-random | 3f9291d6b99e6fd1e324b6125af81631bcde37e5 | 2021-05-20T02:18:08.000Z | [
"pytorch",
"bert",
"text-generation",
"transformers"
] | text-generation | false | patrickvonplaten | null | patrickvonplaten/reformer-random | 14 | null | transformers | 9,880 | Entry not found |
philschmid/BERT-tweet-eval-emotion | d2088dc6099afd0074be9b10c388ef82fd123263 | 2021-10-07T13:19:11.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:tweet_eval",
"transformers",
"autonlp",
"model-index"
] | text-classification | false | philschmid | null | philschmid/BERT-tweet-eval-emotion | 14 | null | transformers | 9,881 | ---
tags: autonlp
language: en
widget:
- text: "Worry is a down payment on a problem you may never have'. Joyce Meyer. #motivation #leadership #worry"
datasets:
- tweet_eval
model-index:
- name: BERT-tweet-eval-emotion
results:
- task:
name: Sentiment Analysis
type: sentiment-analysis
dataset:
... |
pszemraj/t5-large-for-lexical-analysis | dfcc0b9ace293cf0a3f5e70625de890f41923e4f | 2022-02-22T23:16:13.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:kmfoda/booksum",
"arxiv:2105.08209",
"transformers",
"analysis",
"book",
"notes",
"autotrain_compatible"
] | text2text-generation | false | pszemraj | null | pszemraj/t5-large-for-lexical-analysis | 14 | null | transformers | 9,882 | ---
language:
- en
tags:
- t5
- analysis
- book
- notes
datasets:
- kmfoda/booksum
metrics:
- rouge
widget:
- text: "I'm just a girl standing in front of a boy asking him to love her."
example_title: "Notting Hill"
- text: "Son, your ego is writing checks your body can't cash."
example_title: "top gun"
- text: "I... |
sagorsarker/codeswitch-spaeng-ner-lince | c872aad5c3c72de6fc7ddbb01f26e45b8d0d7b85 | 2021-05-19T01:16:32.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"es",
"en",
"dataset:lince",
"transformers",
"codeswitching",
"spanish-english",
"ner",
"license:mit",
"autotrain_compatible"
] | token-classification | false | sagorsarker | null | sagorsarker/codeswitch-spaeng-ner-lince | 14 | null | transformers | 9,883 | ---
language:
- es
- en
datasets:
- lince
license: mit
tags:
- codeswitching
- spanish-english
- ner
---
# codeswitch-spaeng-ner-lince
This is a pretrained model for **Name Entity Recognition** of `spanish-english` code-mixed data used from [LinCE](https://ritual.uh.edu/lince/home)
This model is trained for this belo... |
salti/arabic-t5-small-question-paraphrasing | 430cdeea380c069b79229b9b7dcb0ae77b1c4332 | 2021-07-31T04:44:04.000Z | [
"pytorch",
"t5",
"text2text-generation",
"ar",
"transformers",
"question-paraphrasing",
"autotrain_compatible"
] | text2text-generation | false | salti | null | salti/arabic-t5-small-question-paraphrasing | 14 | 1 | transformers | 9,884 | ---
language:
- ar
tags:
- question-paraphrasing
widget:
- text: "أعد صياغة: ما عدد حروف اللغة العربية؟"
metrics:
- sacrebleu
- rouge
- meteor
---
# Arabic T5v1.1 for question paraphrasing
This is a fine-tuned [arabic-t5-small](https://huggingface.co/flax-community/arabic-t5-small) on the task of question paraphras... |
satyaalmasian/temporal_tagger_bert2bert | a2ee0420d1dea8b2ea41112281fbf48f8be5767e | 2021-09-21T11:23:36.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | satyaalmasian | null | satyaalmasian/temporal_tagger_bert2bert | 14 | null | transformers | 9,885 | # BERT2BERT temporal tagger
Seq2seq model for temporal tagging of plain text using BERT language model. 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).
RoBERTa version of the sa... |
sebastian-hofstaetter/prettr-distilbert-split_at_3-margin_mse-T2-msmarco | b872cbc5e3e3223ab78159b9a309458d08686e75 | 2021-07-10T10:14:14.000Z | [
"pytorch",
"distilbert",
"en",
"dataset:ms_marco",
"arxiv:2004.14255",
"arxiv:2010.02666",
"transformers",
"knowledge-distillation"
] | null | false | sebastian-hofstaetter | null | sebastian-hofstaetter/prettr-distilbert-split_at_3-margin_mse-T2-msmarco | 14 | null | transformers | 9,886 | ---
language: "en"
tags:
- knowledge-distillation
datasets:
- ms_marco
---
# Margin-MSE Trained PreTTR
We provide a retrieval trained DistilBert-based PreTTR model (https://arxiv.org/abs/2004.14255). Our model is trained with Margin-MSE using a 3 teacher BERT_Cat (concatenated BERT scoring) ensemble on MSMA... |
seduerr/pai-tl | 3c6b463c383a1da5ae94ac471a5c3cfbb1de4e88 | 2021-04-06T05:37:09.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"fr",
"ro",
"de",
"dataset:c4",
"arxiv:1910.10683",
"transformers",
"summarization",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | seduerr | null | seduerr/pai-tl | 14 | null | transformers | 9,887 | ---
language:
- en
- fr
- ro
- de
datasets:
- c4
tags:
- summarization
- translation
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html)
Pretraining Dataset: [C4](https://huggingface.co/datasets/c4)
Other Community Checkpoints: [here](https://huggingfa... |
sentence-transformers/nli-bert-large-max-pooling | 0d18f120af805907d3bb96df53da45297d1a9bfc | 2022-06-16T00:46:45.000Z | [
"pytorch",
"tf",
"bert",
"feature-extraction",
"arxiv:1908.10084",
"sentence-transformers",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | false | sentence-transformers | null | sentence-transformers/nli-bert-large-max-pooling | 14 | null | sentence-transformers | 9,888 | ---
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... |
shoarora/alectra-small-owt | 59978c5e61c0d36a392f9cb0396e9f547eba3644 | 2020-12-11T22:01:54.000Z | [
"pytorch",
"albert",
"feature-extraction",
"transformers"
] | feature-extraction | false | shoarora | null | shoarora/alectra-small-owt | 14 | null | transformers | 9,889 | # ALECTRA-small-OWT
This is an extension of
[ELECTRA](https://openreview.net/forum?id=r1xMH1BtvB) small model, trained on the
[OpenWebText corpus](https://skylion007.github.io/OpenWebTextCorpus/).
The training task (discriminative LM / replaced-token-detection) can be generalized to any transformer type. Here, we tra... |
shtoshni/gpt2-chess-uci | 8c22eb8796d7570aa05a50feb3666bf9f0ee6073 | 2021-05-23T12:53:34.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | shtoshni | null | shtoshni/gpt2-chess-uci | 14 | null | transformers | 9,890 | GPT2 language model for chess in UCI notation
|
stefan-it/electra-base-gc4-64k-1000000-cased-generator | 1e4d8f0692845e4fcac21aa3eea256a0f1ceb944 | 2021-05-01T11:24:59.000Z | [
"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-1000000-cased-generator | 14 | null | transformers | 9,891 | ---
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... |
sureshs/distilbert-large-sms-spam | 8ad11555103f850d676e627fc47eab3316f71faf | 2021-08-14T14:10:28.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | sureshs | null | sureshs/distilbert-large-sms-spam | 14 | 1 | transformers | 9,892 | # SMS Classifier
Finetuned 'distilbert-large' model for classifying SMS messages. Look at SMS dataset in this hub for your own version. |
test123/autonlp-ingredient_pseudo_label_training_ner-29576765 | 78806e96ad4804848edc1e9f15037b902cd0f720 | 2021-11-05T07:40:28.000Z | [
"pytorch",
"bert",
"token-classification",
"en",
"dataset:test123/autonlp-data-ingredient_pseudo_label_training_ner",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | token-classification | false | test123 | null | test123/autonlp-ingredient_pseudo_label_training_ner-29576765 | 14 | null | transformers | 9,893 | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- test123/autonlp-data-ingredient_pseudo_label_training_ner
co2_eq_emissions: 129.63722838909717
---
# Model Trained Using AutoNLP
- Problem type: Entity Extraction
- Model ID: 29576765
- CO2 Emissions (in grams): 129.63722838909717
## Vali... |
tiennvcs/bert-large-uncased-finetuned-infovqa | 7362c88b502b4a5e63105a2163e745d65d0adabf | 2021-10-23T06:01:27.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | tiennvcs | null | tiennvcs/bert-large-uncased-finetuned-infovqa | 14 | null | transformers | 9,894 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-large-uncased-finetuned-infovqa
results:
- task:
name: Question Answering
type: question-answering
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
shoul... |
tog/gpt-j-6B-8bit | 6d6d00abc27670929496266c17ca8d5189ccf88f | 2022-01-25T20:12:21.000Z | [
"pytorch",
"gptj",
"text-generation",
"transformers"
] | text-generation | false | tog | null | tog/gpt-j-6B-8bit | 14 | null | transformers | 9,895 | Entry not found |
transformersbook/xlm-roberta-base-finetuned-panx-all | 39aaafd06a441010978aa3b101af7c48cd37c26a | 2022-06-25T09:44:57.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"dataset:wikiann",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | transformersbook | null | transformersbook/xlm-roberta-base-finetuned-panx-all | 14 | 2 | transformers | 9,896 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
datasets:
- wikiann
model-index:
- name: xlm-roberta-base-finetuned-panx-all
results:
- task:
type: token-classification
name: Token Classification
dataset:
name: wikiann
type: wikiann
config: en
split: test
me... |
vitouphy/wav2vec2-xls-r-1b-khmer | dece104b52fb83d85cb945364c477e7a08dd9d06 | 2022-05-16T16:04:46.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"km",
"dataset:openslr",
"transformers",
"openslr",
"robust-speech-event",
"generated_from_trainer",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | vitouphy | null | vitouphy/wav2vec2-xls-r-1b-khmer | 14 | 1 | transformers | 9,897 | ---
language:
- km
license: apache-2.0
tags:
- automatic-speech-recognition
- openslr
- robust-speech-event
- km
- generated_from_trainer
- hf-asr-leaderboard
datasets:
- openslr
model-index:
- name: wav2vec2-xls-r-1b-km
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
da... |
wicharnkeisei/thai-xlm-roberta-base-squad2 | b2bff9dd3cf84f54ac057e37d1e6830dc91dad44 | 2021-11-07T08:32:46.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"th",
"transformers",
"generated_from_trainer",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | wicharnkeisei | null | wicharnkeisei/thai-xlm-roberta-base-squad2 | 14 | null | transformers | 9,898 | ---
license: cc-by-4.0
tags:
- generated_from_trainer
language: th
model-index:
- name: thai-xlm-roberta-base-squad2
results: []
widget:
- text: "สราวุธ มาตรทอง เข้าสู่วงการบันเทิงเมื่อปีอะไร"
context: "สราวุธ มาตรทอง (ชื่อเล่น: อ้น เกิดเมื่อวันที่ 2 ตุลาคม พ.ศ. 2519) เป็นนักแสดงชาวไทย จบการศึกษาจากมหาวิทยาลัยราชภั... |
widyanto/indobert-base-uncased-qa-evaluator | d616a047f94d69a278f0d25b0546a604c4a93938 | 2021-08-24T00:51:39.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | widyanto | null | widyanto/indobert-base-uncased-qa-evaluator | 14 | null | transformers | 9,899 | Entry not found |
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