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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_essays_TEST_test_set_05_03_2022-06_01_05 | d34193ddcbe9cf5879c04af7430c70c93b2d8119 | 2022-03-05T05:01:34.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_essays_TEST_test_set_05_03_2022-06_01_05 | 59 | null | transformers | 5,700 | Entry not found |
ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_webDiscourse_TEST_essays_05_03_2022-06_11_09 | 2b465a929662f098c4a050c843e6e64f5e64823f | 2022-03-05T05:13:43.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_webDiscourse_TEST_essays_05_03_2022-06_11_09 | 59 | null | transformers | 5,701 | Entry not found |
ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_webDiscourse_TEST_editorials_05_03_2022-06_13_50 | 87446f91c03aed2c096d6d16e8d6b095f808a221 | 2022-03-05T05:16:25.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_webDiscourse_TEST_editorials_05_03_2022-06_13_50 | 59 | null | transformers | 5,702 | Entry not found |
ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_essays_TEST_webDiscourse_05_03_2022-06_19_06 | efac69bdc4889991ad9faf65154f75846bff6f71 | 2022-03-05T05:21:31.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_essays_TEST_webDiscourse_05_03_2022-06_19_06 | 59 | null | transformers | 5,703 | Entry not found |
huggingtweets/baguioni | 67dbe15cf7af4773208bcc319822138dd04d6c01 | 2022-03-27T22:55:21.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/baguioni | 59 | 1 | transformers | 5,704 | ---
language: en
thumbnail: http://www.huggingtweets.com/baguioni/1648421716784/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:... |
tdrenis/finetuned-bot-detector | fb0865bf8e6e889844825e656f8bf252944019b6 | 2022-04-06T20:31:05.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | tdrenis | null | tdrenis/finetuned-bot-detector | 59 | null | transformers | 5,705 | Student project that fine-tuned the roberta-base-openai-detector model on the Twibot-20 dataset. |
ArthurZ/opt-350m | 5e09c00aa179327fedda07d221042cc7c32f61ab | 2022-06-21T20:24:40.000Z | [
"pytorch",
"tf",
"jax",
"opt",
"text-generation",
"transformers",
"license:apache-2.0"
] | text-generation | false | ArthurZ | null | ArthurZ/opt-350m | 59 | null | transformers | 5,706 | ---
license: apache-2.0
---
|
fabiochiu/t5-base-tag-generation | 2f6b24e40ad4ec1788e91bfea7de30f42a733609 | 2022-05-23T13:46:13.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | fabiochiu | null | fabiochiu/t5-base-tag-generation | 59 | 1 | transformers | 5,707 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-tag-generation
results: []
widget:
- text: "Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-ty... |
autoevaluate/multi-class-classification | 79771c00c9552278050dc1ef39d694ad71d51fbc | 2022-06-02T12:25:30.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | autoevaluate | null | autoevaluate/multi-class-classification | 59 | null | transformers | 5,708 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: multi-class-classification
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
- ... |
huggingtweets/arstechnica | b341e91e121507278f4c54880fad71ac8e687c14 | 2022-06-20T06:05:42.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/arstechnica | 59 | null | transformers | 5,709 | ---
language: en
thumbnail: http://www.huggingtweets.com/arstechnica/1655705137296/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; wid... |
fujiki/t5-efficient-xl-nl12-en2ja | 5099abd04699a806c353e3f276f09c47e4aa9b31 | 2022-07-04T02:18:16.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:afl-3.0",
"autotrain_compatible"
] | text2text-generation | false | fujiki | null | fujiki/t5-efficient-xl-nl12-en2ja | 59 | null | transformers | 5,710 | ---
license: afl-3.0
---
|
ckb/toki-en-mt | ad3e608a405d5c5c96f3b3cd5561b19efab102d9 | 2022-07-09T10:57:35.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tok",
"en",
"transformers",
"generated_from_trainer",
"translation",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | translation | false | ckb | null | ckb/toki-en-mt | 59 | null | transformers | 5,711 | ---
license: apache-2.0
language:
- tok
- en
tags:
- generated_from_trainer
- translation
metrics:
- bleu
model-index:
- name: toki-en-mt
results: []
widget:
- text: "toki! mi jan Ton. mi lon ma Tawan."
- text: "soweli li toki ala toki e toki Inli?"
---
<!-- This model card has been generated automatically according... |
p-christ/QandAClassifier | a4a4bbaea9defc398dc588b2ecf958cfb4bf4e8c | 2022-07-11T16:49:51.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | p-christ | null | p-christ/QandAClassifier | 59 | null | transformers | 5,712 | Entry not found |
OATML-Markslab/Tranception | d1ef627127760862bc0615ee74372ad4b23b2193 | 2022-07-18T15:25:35.000Z | [
"pytorch",
"tranception",
"fill-mask",
"arxiv:2205.13760",
"transformers",
"autotrain_compatible"
] | fill-mask | false | OATML-Markslab | null | OATML-Markslab/Tranception | 59 | 3 | transformers | 5,713 | # Tranception model
This Hugging Face Hub repo contains the model checkpoint for the Tranception model as described in our paper ["Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval"](https://arxiv.org/abs/2205.13760). The official GitHub repository can be accessed [h... |
eclat12450/fine-tuned-NSPbert-12 | 6f0e086fb7fcff6415008a989bb1f57177c45708 | 2022-07-20T10:14:54.000Z | [
"pytorch",
"bert",
"next-sentence-prediction",
"transformers"
] | null | false | eclat12450 | null | eclat12450/fine-tuned-NSPbert-12 | 59 | null | transformers | 5,714 | Entry not found |
trickstters/DialoGPT-small-evanbot | fc7149e47717f2b9a0d58356d93be12c37c7db5b | 2022-07-27T09:01:01.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | trickstters | null | trickstters/DialoGPT-small-evanbot | 59 | null | transformers | 5,715 | ---
tags:
- conversational
---
# a |
CalvinHuang/mt5-small-finetuned-amazon-en-es | b240a4a8723a1dcd7e8b4438341f7fd8c3e1bae4 | 2022-02-02T03:50:37.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | CalvinHuang | null | CalvinHuang/mt5-small-finetuned-amazon-en-es | 58 | 1 | transformers | 5,716 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-es
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... |
DarshanDeshpande/marathi-distilbert | b0fe751059df2cb52a8dd72a2aa5c4c346e2809a | 2021-03-23T08:20:29.000Z | [
"pytorch",
"tf",
"distilbert",
"fill-mask",
"mr",
"dataset:Oscar Corpus, News, Stories",
"arxiv:1910.01108",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | DarshanDeshpande | null | DarshanDeshpande/marathi-distilbert | 58 | 3 | transformers | 5,717 | ---
language:
- mr
tags:
- fill-mask
license: apache-2.0
datasets:
- Oscar Corpus, News, Stories
widget:
- text: "हा खरोखर चांगला [MASK] आहे."
---
# Marathi DistilBERT
## Model description
This model is an adaptation of DistilBERT (Victor Sanh et al., 2019) for Marathi language. This version of Marathi-DistilBERT i... |
Helsinki-NLP/opus-mt-en-rw | 6cd0e5c91a2e1a06838ab3eae0d8fc45d257a2d9 | 2021-09-09T21:38:55.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"rw",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-rw | 58 | null | transformers | 5,718 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-rw
* source languages: en
* target languages: rw
* OPUS readme: [en-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-rw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
IlyaGusev/sber_rut5_filler | c7f5e2b9cbb3937f2632f827364b8e922f788e42 | 2022-07-13T15:34:32.000Z | [
"pytorch",
"t5",
"text2text-generation",
"ru",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | IlyaGusev | null | IlyaGusev/sber_rut5_filler | 58 | 1 | transformers | 5,719 | ---
language:
- ru
license: apache-2.0
widget:
- text: Эта блядь меня заебала</s> Эта <extra_id_0> меня <extra_id_1>
--- |
ankur310794/bart-base-keyphrase-generation-openkp | 92001c83e3f1533ca560f083cf38db2a2390fd11 | 2021-04-09T08:43:55.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | ankur310794 | null | ankur310794/bart-base-keyphrase-generation-openkp | 58 | null | transformers | 5,720 | Entry not found |
danghuy1999/gpt2-viwiki | c1e1934242d48aabd63b2f9ce4d5aa025ecf7c27 | 2021-08-08T17:59:19.000Z | [
"pytorch",
"tf",
"gpt2",
"vi",
"transformers",
"gpt2-viwiki",
"license:mit"
] | null | false | danghuy1999 | null | danghuy1999/gpt2-viwiki | 58 | 1 | transformers | 5,721 | ---
language: vi
tags:
- gpt2-viwiki
license: mit
---
# GPT-2 Fine-tuning in Vietnamese Wikipedia
## Model description
This is a Vietnamese GPT-2 model which is finetuned on the [Latest pages articles of Vietnamese Wikipedia](https://dumps.wikimedia.org/viwiki/latest/viwiki-latest-pages-articles.xml.bz2).
## Dat... |
educhav/J-DialoGPT-small | 5850d899162791adedf231186fe7a4c1580a21bb | 2022-01-22T02:35:11.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | educhav | null | educhav/J-DialoGPT-small | 58 | null | transformers | 5,722 | ---
tags:
- conversational
---
# J Cole Patt |
ethzanalytics/ai-msgbot-gpt2-XL-dialogue | 91b073bed82d78b0149d5e59fca58d07f99188f1 | 2022-02-22T15:46:24.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"dataset:natural questions",
"transformers",
"gpt",
"license:mit"
] | text-generation | false | ethzanalytics | null | ethzanalytics/ai-msgbot-gpt2-XL-dialogue | 58 | 1 | transformers | 5,723 | ---
language:
- en
tags:
- text-generation
- gpt2
- gpt
license: mit
datasets:
- natural questions
widget:
- text: "Do you like my new haircut?\nperson beta:\n\n"
example_title: "haircut"
- text: "I love to learn new things.. are you willing to teach me something?\nperson beta:\n\n"
example_title: "teaching"
... |
funnel-transformer/large-base | cebf5df5b78c98badc256dfdf302d9403fd08bae | 2020-12-11T21:40:28.000Z | [
"pytorch",
"tf",
"funnel",
"feature-extraction",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"dataset:gigaword",
"arxiv:2006.03236",
"transformers",
"license:apache-2.0"
] | feature-extraction | false | funnel-transformer | null | funnel-transformer/large-base | 58 | null | transformers | 5,724 | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
- gigaword
---
# Funnel Transformer large model (B8-8-8 without decoder)
Pretrained model on English language using a similar objective objective as [ELECTRA](https://huggingface.co/transformers/model_doc/electra.html). It was introduced in
[this... |
huggingtweets/destiny_thememe | a87042566e8e9c010f3d80f1d54f97eda0fcee43 | 2021-05-22T01:27:17.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/destiny_thememe | 58 | null | transformers | 5,725 | ---
language: en
thumbnail: https://www.huggingtweets.com/destiny_thememe/1616803427645/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/137239629... |
huggingtweets/muratpak | 5b92089b726101c723bb60dd38647a1f057b085c | 2021-10-18T17:22:31.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/muratpak | 58 | null | transformers | 5,726 | ---
language: en
thumbnail: https://www.huggingtweets.com/muratpak/1634577747584/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... |
joeddav/distilbert-base-uncased-agnews-student | 41503004a8bc8c31721fc37a384f406544862d97 | 2021-02-18T20:41:19.000Z | [
"pytorch",
"tf",
"distilbert",
"text-classification",
"en",
"dataset:ag_news",
"transformers",
"tensorflow",
"license:mit"
] | text-classification | false | joeddav | null | joeddav/distilbert-base-uncased-agnews-student | 58 | null | transformers | 5,727 | ---
language: en
tags:
- text-classification
- pytorch
- tensorflow
datasets:
- ag_news
license: mit
widget:
- text: "Armed conflict has been a near-constant policial and economic burden."
- text: "Tom Brady won his seventh Super Bowl last night."
- text: "Dow falls more than 100 points after disappointing jobs data"
-... |
jonatasgrosman/paraphrase | 73b6aede4e8f82dddd37fd14f2124e9088c94356 | 2021-05-23T06:01:26.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | jonatasgrosman | null | jonatasgrosman/paraphrase | 58 | null | transformers | 5,728 | testing
|
m3hrdadfi/xlmr-large-qa-fa | 81c1e240f5b2def9e1db967d23693e4182a8b556 | 2021-10-12T08:36:53.000Z | [
"pytorch",
"tf",
"xlm-roberta",
"question-answering",
"fa",
"multilingual",
"dataset:SajjadAyoubi/persian_qa",
"transformers",
"roberta",
"squad",
"model-index",
"autotrain_compatible"
] | question-answering | false | m3hrdadfi | null | m3hrdadfi/xlmr-large-qa-fa | 58 | null | transformers | 5,729 | ---
language:
- fa
- multilingual
tags:
- question-answering
- xlm-roberta
- roberta
- squad
datasets:
- SajjadAyoubi/persian_qa
metrics:
- squad_v2
widget:
- text: "کاربردهای لاپلاسین؟"
context: "معادلهٔ لاپلاس یک معادله دیفرانسیل با مشتقات جزئی است که از اهمّیّت و کاربرد فراوانی در ریاضیّات، فیزیک، و مهندسی برخورد... |
neuralspace-reverie/indic-transformers-bn-roberta | 3ba101b2b34f7a2af1c5595f1d4be6598e692e5b | 2021-05-20T18:47:17.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"bn",
"transformers",
"MaskedLM",
"Bengali",
"RoBERTa",
"Question-Answering",
"Token Classification",
"Text Classification",
"autotrain_compatible"
] | fill-mask | false | neuralspace-reverie | null | neuralspace-reverie/indic-transformers-bn-roberta | 58 | null | transformers | 5,730 | ---
language:
- bn
tags:
- MaskedLM
- Bengali
- RoBERTa
- Question-Answering
- Token Classification
- Text Classification
---
# Indic-Transformers Bengali RoBERTa
## Model description
This is a RoBERTa language model pre-trained on ~6 GB of monolingual training corpus. The pre-training data was majorly taken from [OS... |
salesken/text_generate | e11e6a9123081a2f1e467b8dca90930c50d7c265 | 2021-05-23T12:38:21.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers",
"salesken"
] | text-generation | false | salesken | null | salesken/text_generate | 58 | 1 | transformers | 5,731 | ---
tags: salesken
widget:
- text: "Which name is also used to describe the Amazon rainforest in English? "
---
```python
from transformers import AutoTokenizer, AutoModelWithLMHead
import torch
if torch.cuda.is_available():
device = torch.device("cuda")
else :
device = "cpu"
tokenizer = AutoTokenizer.fr... |
ykacer/bert-base-cased-imdb-sequence-classification | 05012cac18df27f33acd2c512f16a48542108c2f | 2021-05-20T09:31:37.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"en",
"dataset:imdb",
"transformers",
"sequence",
"classification",
"license:apache-2.0"
] | text-classification | false | ykacer | null | ykacer/bert-base-cased-imdb-sequence-classification | 58 | null | transformers | 5,732 |
---
language:
- en
thumbnail: https://raw.githubusercontent.com/JetRunner/BERT-of-Theseus/master/bert-of-theseus.png
tags:
- sequence
- classification
license: apache-2.0
datasets:
- imdb
metrics:
- accuracy
---
|
ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_webDiscourse_TEST_test_set_05_03_2022-05_48_17 | d5e6f66dc9c1a2f9ce82e32b176a1c642d284878 | 2022-03-05T04:50:54.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_webDiscourse_TEST_test_set_05_03_2022-05_48_17 | 58 | null | transformers | 5,733 | Entry not found |
ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_webDiscourse_TEST_test_set_05_03_2022-05_53_50 | 0e2c93d656a0817944f32b15c541813f518169ee | 2022-03-05T04:56:24.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_webDiscourse_TEST_test_set_05_03_2022-05_53_50 | 58 | null | transformers | 5,734 | Entry not found |
ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_webDiscourse_TEST_webDiscourse_05_03_2022-06_08_23 | 563420fe1d72c7a8d9968a9ec3ce1bbe805aa384 | 2022-03-05T05:11:02.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_webDiscourse_TEST_webDiscourse_05_03_2022-06_08_23 | 58 | null | transformers | 5,735 | Entry not found |
l3cube-pune/marathi-ner | 7cec0d26b321405a2da5415fc01314a5fafe9eb5 | 2022-06-26T15:15:30.000Z | [
"pytorch",
"bert",
"token-classification",
"mr",
"dataset:L3Cube-MahaNER",
"arxiv:2204.06029",
"transformers",
"license:cc-by-4.0",
"autotrain_compatible"
] | token-classification | false | l3cube-pune | null | l3cube-pune/marathi-ner | 58 | null | transformers | 5,736 | ---
language: mr
tags:
license: cc-by-4.0
datasets:
- L3Cube-MahaNER
widget:
- text: "I like you. </s></s> I love you."
---
## MahaNER-BERT
MahaNER-BERT is a MahaBERT(l3cube-pune/marathi-bert) model fine-tuned on L3Cube-MahaNER - a Marathi named entity recognition dataset.
[dataset link] (https://github.com/l3cube... |
wanyu/IteraTeR-BART-Revision-Generator | b4fd9ef8529abba0610b1d73c56d7cdb5143d70f | 2022-04-04T20:09:49.000Z | [
"pytorch",
"bart",
"text2text-generation",
"dataset:IteraTeR_full_sent",
"arxiv:2203.03802",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | wanyu | null | wanyu/IteraTeR-BART-Revision-Generator | 58 | null | transformers | 5,737 | ---
datasets:
- IteraTeR_full_sent
---
# IteraTeR BART model
This model was obtained by fine-tuning [facebook/bart-base](https://huggingface.co/facebook/bart-base) on [IteraTeR-full-sent](https://huggingface.co/datasets/wanyu/IteraTeR_full_sent) dataset.
Paper: [Understanding Iterative Revision from Human-Written Tex... |
arghya007/roberta-scarcasm-discriminator | 7e3e92ff796c499b68daefff45369064dd3f95b2 | 2022-04-10T17:42:26.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | arghya007 | null | arghya007/roberta-scarcasm-discriminator | 58 | null | transformers | 5,738 | Entry not found |
Helsinki-NLP/opus-mt-tc-big-en-ces_slk | 0850dc863d8df39712a09a8068d23a3acca4fb17 | 2022-06-01T13:03:14.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ces",
"slk",
"cs",
"sk",
"en",
"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-ces_slk | 58 | null | transformers | 5,739 | ---
language:
- ces
- slk
- cs
- sk
- en
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-en-ces_slk
results:
- task:
name: Translation eng-ces
type: translation
args: eng-ces
dataset:
name: flores101-devtest
type: flores_101
args: eng c... |
charityking2358/taglish-electra | 566e2edf3c9dcc7755d91f73df3e5d51944d6c74 | 2022-04-26T02:19:48.000Z | [
"pytorch",
"transformers"
] | null | false | charityking2358 | null | charityking2358/taglish-electra | 58 | null | transformers | 5,740 | ## Taglish-Electra
Our Taglish-Electra model was pretrained with two Filipino training datasets and one English dataset to increase improvement against Filipino text with English where speakers may code-switch between the two languages.
1) Openwebtext (English)
2) WikiText-TL-39 (Filipino)
3) [TLUnified Large Scale... |
Jackett/detr_test | 829cf95c562b6f28dc31c89e897c7aeb9270137a | 2022-05-17T07:54:37.000Z | [
"pytorch",
"detr",
"object-detection",
"transformers"
] | object-detection | false | Jackett | null | Jackett/detr_test | 58 | null | transformers | 5,741 | Entry not found |
smc/PANDA_ConvNeXT | d5d34bfd500b5e013766f4eae4933cb4371ce3fa | 2022-05-25T20:19:25.000Z | [
"pytorch",
"convnext",
"image-classification",
"transformers",
"model-index"
] | image-classification | false | smc | null | smc/PANDA_ConvNeXT | 58 | 1 | transformers | 5,742 | ---
tags:
- image-classification
- pytorch
metrics:
- accuracy
- Cohen's Kappa
model-index:
- name: PANDA_ConvNeXT
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.5491307377815247
- name: Quadratic ... |
RUCAIBox/mvp-summarization | 8b0bfb62f0c9b8a2b8ff05d3812903536afa3d4e | 2022-06-27T02:28:20.000Z | [
"pytorch",
"mvp",
"en",
"arxiv:2206.12131",
"transformers",
"text-generation",
"text2text-generation",
"summarization",
"license:apache-2.0"
] | text2text-generation | false | RUCAIBox | null | RUCAIBox/mvp-summarization | 58 | null | transformers | 5,743 | ---
license: apache-2.0
language:
- en
tags:
- text-generation
- text2text-generation
- summarization
pipeline_tag: text2text-generation
widget:
- text: "Summarize: You may want to stick it to your boss and leave your job, but don't do it if these are your reasons."
example_title: "Example1"
- text: "Summarize: Jorge... |
AryaSuprana/BRATA_RoBERTaBali | 7b7518cbe564d329a9869059874d8b160cb25e20 | 2022-06-11T05:01:40.000Z | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"ban",
"dataset:WikiBali",
"dataset:Suara Saking Bali",
"transformers",
"autotrain_compatible"
] | fill-mask | false | AryaSuprana | null | AryaSuprana/BRATA_RoBERTaBali | 58 | null | transformers | 5,744 | ---
language: "ban"
datasets:
- WikiBali
- Suara Saking Bali
widget:
- text: "Kalsium silih <mask> datu kimia antuk simbol Ca miwah wilangan atom 20."
example_title: "Conto 1"
- text: "Tabuan inggih <mask> silih tunggil soroh beburon sane madue kampid."
example_title: "Conto 2"
---
BRATA (Basa Bali Used for Pretra... |
Anjoe/gbert-large | 0d03ce7b19d93c48c43bf2cd9640af58bcfaa536 | 2022-06-25T17:08:58.000Z | [
"pytorch",
"tf",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Anjoe | null | Anjoe/gbert-large | 58 | null | transformers | 5,745 | ---
tags:
- generated_from_trainer
model-index:
- name: gbert-large
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. -->
# gbert-large
This model is a fine-tuned ver... |
ArnavL/roberta-base-agnews-0 | 9e3cf04110af9982ee2b4c18a7d310fd35d6255e | 2022-07-12T00:34:24.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | ArnavL | null | ArnavL/roberta-base-agnews-0 | 58 | null | transformers | 5,746 | Entry not found |
kaj/evoker | 640000717de9e5645bd524c391b2271564abd2db | 2022-07-26T02:34:16.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"license:mit"
] | text-generation | false | kaj | null | kaj/evoker | 58 | 1 | transformers | 5,747 | ---
license: mit
---
|
Salesforce/qaconv-unifiedqa-t5-base | ff060b2e623e10ebabcfec840809eb4ddd7f92d2 | 2021-06-23T10:13:43.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Salesforce | null | Salesforce/qaconv-unifiedqa-t5-base | 57 | null | transformers | 5,748 | Entry not found |
TransQuest/microtransquest-en_lv-pharmaceutical-nmt | 983d0506c36d60d468a60a16b4e4a0a9f799a48b | 2021-06-04T08:21:54.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"en-lv",
"transformers",
"Quality Estimation",
"microtransquest",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | TransQuest | null | TransQuest/microtransquest-en_lv-pharmaceutical-nmt | 57 | null | transformers | 5,749 | ---
language: en-lv
tags:
- Quality Estimation
- microtransquest
license: apache-2.0
---
# TransQuest: Translation Quality Estimation with Cross-lingual Transformers
The goal of quality estimation (QE) is to evaluate the quality of a translation without having access to a reference translation. High-accuracy QE that ... |
UBC-NLP/AraT5-msa-small | dcf01ca943e90f2777d38c36d27d090203096a34 | 2022-05-26T18:27:22.000Z | [
"pytorch",
"tf",
"t5",
"ar",
"transformers",
"Arabic T5",
"MSA",
"Twitter",
"Arabic Dialect",
"Arabic Machine Translation",
"Arabic Text Summarization",
"Arabic News Title and Question Generation",
"Arabic Paraphrasing and Transliteration",
"Arabic Code-Switched Translation"
] | null | false | UBC-NLP | null | UBC-NLP/AraT5-msa-small | 57 | 2 | transformers | 5,750 | ---
language:
- ar
tags:
- Arabic T5
- MSA
- Twitter
- Arabic Dialect
- Arabic Machine Translation
- Arabic Text Summarization
- Arabic News Title and Question Generation
- Arabic Paraphrasing and Transliteration
- Arabic Code-Switched Translation
---
# AraT5-msa-small
# AraT5: Text-to-Text Transfo... |
abhishek/autonlp-japanese-sentiment-59362 | 984f7c46692dcda527a9c985a47b115318bcfd13 | 2021-05-18T22:55:03.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"ja",
"dataset:abhishek/autonlp-data-japanese-sentiment",
"transformers",
"autonlp"
] | text-classification | false | abhishek | null | abhishek/autonlp-japanese-sentiment-59362 | 57 | 1 | transformers | 5,751 | ---
tags: autonlp
language: ja
widget:
- text: "I love AutoNLP 🤗"
datasets:
- abhishek/autonlp-data-japanese-sentiment
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 59362
## Validation Metrics
- Loss: 0.13092292845249176
- Accuracy: 0.9527127414314258
- Precision: 0.9634070704... |
akdeniz27/bert-base-turkish-cased-ner | 53ddeb6e865ad7248f002ea6461c5b5fb0ecfa46 | 2021-10-14T19:50:00.000Z | [
"pytorch",
"bert",
"token-classification",
"tr",
"transformers",
"autotrain_compatible"
] | token-classification | false | akdeniz27 | null | akdeniz27/bert-base-turkish-cased-ner | 57 | 1 | transformers | 5,752 | ---
language: tr
widget:
- text: "Mustafa Kemal Atatürk 19 Mayıs 1919'da Samsun'a çıktı."
---
# Turkish Named Entity Recognition (NER) Model
This model is the fine-tuned model of "dbmdz/bert-base-turkish-cased"
using a reviewed version of well known Turkish NER dataset
(https://github.com/stefan-it/turkish-bert/fil... |
averyanalex/panorama-rugpt3large | e1adee6678c3a362036fa572cd9bad40e4c3ba66 | 2022-01-13T12:54:41.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | averyanalex | null | averyanalex/panorama-rugpt3large | 57 | null | transformers | 5,753 | Entry not found |
cahya/wav2vec2-large-xlsr-turkish-artificial-cv | c082543f4ffe0da89ff44b02a0ec7c7dc65afdff | 2021-07-06T00:02:23.000Z | [
"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-cv | 57 | null | transformers | 5,754 | ---
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 by Cahya
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
... |
cosmoquester/bart-ko-base | ed861421e349d4f8bed6667fb2dd8848eb24dce3 | 2021-08-28T05:12:02.000Z | [
"pytorch",
"tf",
"bart",
"text2text-generation",
"ko",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | cosmoquester | null | cosmoquester/bart-ko-base | 57 | 1 | transformers | 5,755 | ---
language: ko
---
# Pretrained BART in Korean
This is pretrained BART model with multiple Korean Datasets.
I used multiple datasets for generalizing the model for both colloquial and written texts.
The training is supported by [TPU Research Cloud](https://sites.research.google/trc/) program.
The script which is... |
gagan3012/keytotext-small | bf3e0c8f9aab3d0cdf83db549fb7003920017ee6 | 2021-03-11T23:33:47.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | gagan3012 | null | gagan3012/keytotext-small | 57 | null | transformers | 5,756 | # keytotext
Idea is to build a model which will take keywords as inputs and generate sentences as outputs.
### Model:
Two Models have been built:
- Using T5-base size = 850 MB can be found here: https://huggingface.co/gagan3012/keytotext
- Using T5-small size = 230 MB can be found here: https://huggingface.co/gag... |
google/bert_uncased_L-8_H-128_A-2 | 015be1772f53aaa32683e3bd44ab075708f25812 | 2021-05-19T17:35:05.000Z | [
"pytorch",
"jax",
"bert",
"arxiv:1908.08962",
"transformers",
"license:apache-2.0"
] | null | false | google | null | google/bert_uncased_L-8_H-128_A-2 | 57 | null | transformers | 5,757 | ---
thumbnail: https://huggingface.co/front/thumbnails/google.png
license: apache-2.0
---
BERT Miniatures
===
This is the set of 24 BERT models referenced in [Well-Read Students Learn Better: On the Importance of Pre-training Compact Models](https://arxiv.org/abs/1908.08962) (English only, uncased, trained with Word... |
jcpwfloi/gpt2-story-generation | b2acb595321a3c3cd0f05b7eb035132d8acda70b | 2021-05-23T05:48:11.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | jcpwfloi | null | jcpwfloi/gpt2-story-generation | 57 | null | transformers | 5,758 | Entry not found |
monologg/koelectra-base-finetuned-sentiment | 5bb90123f35cc220ed2d2ae1c157af265748c7bb | 2020-05-14T02:30:04.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | monologg | null | monologg/koelectra-base-finetuned-sentiment | 57 | null | transformers | 5,759 | Entry not found |
msintaha/bert-base-uncased-finetuned-copa-data-new | c7c9123706f1e0f45617181ccf4bd25c227cff66 | 2022-02-15T08:41:46.000Z | [
"pytorch",
"tensorboard",
"bert",
"multiple-choice",
"dataset:super_glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | multiple-choice | false | msintaha | null | msintaha/bert-base-uncased-finetuned-copa-data-new | 57 | null | transformers | 5,760 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: bert-base-uncased-finetuned-copa-data-new
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread ... |
pucpr/clinicalnerpt-finding | b61d343277019091c349926424c0996488ffb414 | 2021-10-13T09:32:39.000Z | [
"pytorch",
"bert",
"token-classification",
"pt",
"dataset:SemClinBr",
"transformers",
"autotrain_compatible"
] | token-classification | false | pucpr | null | pucpr/clinicalnerpt-finding | 57 | 4 | transformers | 5,761 | ---
language: "pt"
widget:
- text: "RECEBE ALTA EM BOM ESTADO GERAL, COM PLANO DE ACOMPANHAR NO AMBULATÓRIO."
- text: "PACIENTE APRESENTOU BOA EVOLUÇÃO CLÍNICA APÓS OTIMIZAÇÃO DO TTO DA ICC."
datasets:
- SemClinBr
thumbnail: "https://raw.githubusercontent.com/HAILab-PUCPR/BioBERTpt/master/images/logo-biobertpr1.png"... |
sail/poolformer_m48 | 752b4a4de30d3fb40c59db413fa6f9ce51be2cc0 | 2022-04-08T07:48:25.000Z | [
"pytorch",
"poolformer",
"image-classification",
"dataset:imagenet",
"arxiv:2111.11418",
"transformers",
"vision",
"license:apache-2.0"
] | image-classification | false | sail | null | sail/poolformer_m48 | 57 | null | transformers | 5,762 | ---
license: apache-2.0
tags:
- image-classification
- vision
datasets:
- imagenet
---
# PoolFormer (M48 model)
PoolFormer model trained on ImageNet-1k (1 million images, 1,000 classes) at resolution 224x224. It was first introduced in the paper [MetaFormer is Actually What You Need for Vision](https://arxiv.org/abs/... |
seduerr/t5-pawraphrase | afb526cf961ea8113dbb7356df14a599eb7c3876 | 2021-06-23T14:19:12.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | seduerr | null | seduerr/t5-pawraphrase | 57 | null | transformers | 5,763 |
# Invoking more Creativity with Pawraphrases based on T5
## This micro-service allows to find paraphrases for a given text based on T5.
We explain how we finetune the architecture T5 with the dataset PAWS (both from Google) to get the capability of creating paraphrases (or ... |
textattack/xlnet-large-cased-SST-2 | d2e7fe2c3bc11df01de21b76788559740b688921 | 2020-06-09T16:59:05.000Z | [
"pytorch",
"xlnet",
"text-classification",
"transformers"
] | text-classification | false | textattack | null | textattack/xlnet-large-cased-SST-2 | 57 | 0 | transformers | 5,764 | Entry not found |
tiedeman/opus-mt-en-he | 4fb656f23568471c76209d2582cd27a7645f8c15 | 2021-03-04T17:50:20.000Z | [
"pytorch",
"rust",
"marian",
"text2text-generation",
"en",
"he",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | tiedeman | null | tiedeman/opus-mt-en-he | 57 | null | transformers | 5,765 | ---
language:
- en
- he
tags:
- translation
license: apache-2.0
---
### en-he
* source group: English
* target group: Hebrew
* OPUS readme: [eng-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-heb/README.md)
* model: transformer
* source language(s): eng
* target language(s): heb
... |
microsoft/tapex-base-finetuned-tabfact | 64c585e9e0784c175d8eddb0ee17974c260f1766 | 2022-07-14T10:09:42.000Z | [
"pytorch",
"bart",
"text-classification",
"en",
"dataset:tab_fact",
"arxiv:2107.07653",
"transformers",
"tapex",
"license:mit"
] | text-classification | false | microsoft | null | microsoft/tapex-base-finetuned-tabfact | 57 | null | transformers | 5,766 | ---
language: en
tags:
- tapex
datasets:
- tab_fact
license: mit
---
# TAPEX (base-sized model)
TAPEX was proposed in [TAPEX: Table Pre-training via Learning a Neural SQL Executor](https://arxiv.org/abs/2107.07653) by Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou. The original ... |
ali2066/bert-base-uncased_token_itr0_0.0001_all_01_03_2022-14_21_25 | 37d6511313dffd6e304cab976cb111b879f29857 | 2022-03-01T13:24:47.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/bert-base-uncased_token_itr0_0.0001_all_01_03_2022-14_21_25 | 57 | null | transformers | 5,767 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-uncased_token_itr0_0.0001_all_01_03_2022-14_21_25
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
shoul... |
jkhan447/sentiment-model-sample-group-emotion | 50852be49c7255937fb8baada134d7a65e6c6aad | 2022-03-23T08:19:54.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jkhan447 | null | jkhan447/sentiment-model-sample-group-emotion | 57 | null | transformers | 5,768 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sentiment-model-sample-group-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove... |
afbudiman/indobert-classification | 9847311f7585cf858a1ba9cb535b3cd88e421a02 | 2022-05-06T12:54:14.000Z | [
"pytorch",
"bert",
"text-classification",
"dataset:indonlu",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | afbudiman | null | afbudiman/indobert-classification | 57 | null | transformers | 5,769 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- indonlu
metrics:
- accuracy
- f1
model-index:
- name: indobert-classification
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: indonlu
type: indonlu
args: smsa
metrics:
- name: Ac... |
Finnish-NLP/byt5-base-finnish | 6b5217510aa375669642c64533388b571dd87e6f | 2022-07-12T14:22:08.000Z | [
"pytorch",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"fi",
"dataset:Finnish-NLP/mc4_fi_cleaned",
"dataset:wikipedia",
"arxiv:2105.13626",
"arxiv:2002.05202",
"transformers",
"finnish",
"byt5",
"t5x",
"seq2seq",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | Finnish-NLP | null | Finnish-NLP/byt5-base-finnish | 57 | null | transformers | 5,770 | ---
language:
- fi
license: apache-2.0
tags:
- finnish
- t5
- byt5
- t5x
- seq2seq
datasets:
- Finnish-NLP/mc4_fi_cleaned
- wikipedia
inference: false
---
# ByT5-base for Finnish
Pretrained ByT5 model on Finnish language using a span-based masked language modeling (MLM) objective. ByT5 was introduced in
[this paper]... |
IsaacRodgz/Tamil-Hate-Speech | 7a5db650dc1a62398891d5bf50a10451ca2cb8ec | 2022-06-02T22:05:58.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | false | IsaacRodgz | null | IsaacRodgz/Tamil-Hate-Speech | 57 | null | transformers | 5,771 | Entry not found |
ccdv/lsg-bart-base-16384-mediasum | f7c6158dd1c5402e5afecc3c70d0958fc9fac2f7 | 2022-07-25T05:30:05.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:ccdv/mediasum",
"transformers",
"summarization",
"model-index",
"autotrain_compatible"
] | summarization | false | ccdv | null | ccdv/lsg-bart-base-16384-mediasum | 57 | null | transformers | 5,772 | ---
language:
- en
tags:
- summarization
datasets:
- ccdv/mediasum
metrics:
- rouge
model-index:
- name: ccdv/lsg-bart-base-16384-mediasum
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 ... |
ClassCat/roberta-base-spanish | 99bf4a2b27347fc92a75504fa89ce98c711f1245 | 2022-07-14T09:38:05.000Z | [
"pytorch",
"roberta",
"fill-mask",
"es",
"dataset:wikipedia",
"dataset:cc100",
"transformers",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | ClassCat | null | ClassCat/roberta-base-spanish | 57 | 1 | transformers | 5,773 | ---
language: es
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
widget:
- text: "Yo vivo en <mask>."
- text: "Quiero <mask> contigo ?"
- text: "Es clima es <mask>."
- text: "Me llamo <mask>."
- text: "Las negociaciones están <mask>."
---
## RoBERTa Spanish base model (Uncased)
### Prerequisites
transformers==4.... |
Aktsvigun/bart-base_aeslc_705525 | a34cc8dc35ea4ed1d4ccf8d8b5419a714180e1d7 | 2022-07-07T15:46:52.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Aktsvigun | null | Aktsvigun/bart-base_aeslc_705525 | 57 | null | transformers | 5,774 | Entry not found |
huggingtweets/frnsw-nswrfs-nswses | e98941d314f6a2f12f178225d9c318960231e426 | 2022-07-06T14:32:52.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/frnsw-nswrfs-nswses | 57 | null | transformers | 5,775 | ---
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... |
StanfordAIMI/covid-radbert | 6519862ea4beae4199cac025f38274eba429ee34 | 2022-07-19T04:21:14.000Z | [
"pytorch",
"bert",
"en",
"transformers",
"text-classification",
"uncased",
"radiology",
"biomedical",
"covid-19",
"covid19",
"license:mit"
] | text-classification | false | StanfordAIMI | null | StanfordAIMI/covid-radbert | 57 | 1 | transformers | 5,776 | ---
widget:
- text: "procedure: single ap view of the chest comparison: none findings: no surgical hardware nor tubes. lungs, pleura: low lung volumes, bilateral airspace opacities. no pneumothorax or pleural effusion. cardiovascular and mediastinum: the cardiomediastinal silhouette seems stable. impression: 1. patchy ... |
Kamrani/t5-large | aba0d1f6dc5c32b6e56a5c7c2733aa1aaf95d2f5 | 2022-07-27T13:13:19.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"fa",
"arxiv:1805.12471",
"arxiv:1708.00055",
"arxiv:1704.05426",
"arxiv:1606.05250",
"arxiv:1808.09121",
"arxiv:1810.12885",
"arxiv:1905.10044",
"arxiv:1910.09700",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compati... | translation | false | Kamrani | null | Kamrani/t5-large | 57 | null | transformers | 5,777 | ---
language:
- en
- fa
tags:
- translation
license: apache-2.0
---
# Model Card for T5 Large
# Tab... |
Geotrend/bert-base-15lang-cased | 787fc26696471d329e073e1a473adcf94de8c309 | 2022-06-28T08:50:42.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"en",
"fr",
"es",
"de",
"zh",
"ar",
"ru",
"vi",
"el",
"bg",
"th",
"tr",
"hi",
"ur",
"sw",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/bert-base-15lang-cased | 56 | 1 | transformers | 5,778 | ---
language:
- multilingual
- en
- fr
- es
- de
- zh
- ar
- ru
- vi
- el
- bg
- th
- tr
- hi
- ur
- sw
datasets: wikipedia
license: apache-2.0
widget:
- text: "Google generated 46 billion [MASK] in revenue."
- text: "Paris is the capital of [MASK]."
- text: "Algiers is the largest city in [MASK]."
- text: "Paris e... |
IDEA-CCNL/Randeng-MegatronT5-770M | d9f1391038fd66413915bb65036a99f2c5d52a24 | 2022-04-12T01:50:56.000Z | [
"pytorch",
"t5",
"text2text-generation",
"zh",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | IDEA-CCNL | null | IDEA-CCNL/Randeng-MegatronT5-770M | 56 | 5 | transformers | 5,779 | ---
language:
- zh
license: apache-2.0
inference: false
---
# Randeng-MegatronT5-770M model (Chinese)，one model of [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM).
The 770 million parameter Randeng-770M large model, using 280G Chinese data, 16 A100 training for 14 days，which is a standard transform... |
Raychanan/chinese-roberta-wwm-ext-FineTuned | 980284db7a4b313adbfaf7504689a3668d22e829 | 2021-05-18T21:57:46.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Raychanan | null | Raychanan/chinese-roberta-wwm-ext-FineTuned | 56 | null | transformers | 5,780 | Entry not found |
adrianmoses/autonlp-auto-nlp-lyrics-classification-19333717 | 5deecb5ec054e452417edb169c441b669e069908 | 2021-10-15T19:12:03.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:adrianmoses/autonlp-data-auto-nlp-lyrics-classification",
"transformers",
"autonlp",
"co2_eq_emissions"
] | text-classification | false | adrianmoses | null | adrianmoses/autonlp-auto-nlp-lyrics-classification-19333717 | 56 | null | transformers | 5,781 | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- adrianmoses/autonlp-data-auto-nlp-lyrics-classification
co2_eq_emissions: 88.89388195672073
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 19333717
- CO2 Emissions (in grams): 88.89388195672073
##... |
flair/frame-english | 09e0348db9809c2e50bf7135a2102817f6155fbf | 2021-03-02T22:02:55.000Z | [
"pytorch",
"en",
"dataset:ontonotes",
"flair",
"token-classification",
"sequence-tagger-model"
] | token-classification | false | flair | null | flair/frame-english | 56 | null | flair | 5,782 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language: en
datasets:
- ontonotes
widget:
- text: "George returned to Berlin to return his hat."
---
## English Verb Disambiguation in Flair (default model)
This is the standard verb disambiguation model for English that ships with [Flair](https://gith... |
gchhablani/bert-base-cased-finetuned-stsb | 56e68a16be5d3c7647447dc0512261fbe3dd9f99 | 2021-09-20T09:09:31.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"en",
"dataset:glue",
"arxiv:2105.03824",
"transformers",
"generated_from_trainer",
"fnet-bert-base-comparison",
"license:apache-2.0",
"model-index"
] | text-classification | false | gchhablani | null | gchhablani/bert-base-cased-finetuned-stsb | 56 | null | transformers | 5,783 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: bert-base-cased-finetuned-stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: ... |
google/tapas-large-finetuned-wikisql-supervised | 77ca7d982ca59b32a97ee35d211db21086d41403 | 2021-11-29T13:05:23.000Z | [
"pytorch",
"tf",
"tapas",
"table-question-answering",
"en",
"dataset:wikisql",
"arxiv:2004.02349",
"arxiv:2010.00571",
"arxiv:1709.00103",
"transformers",
"license:apache-2.0"
] | table-question-answering | false | google | null | google/tapas-large-finetuned-wikisql-supervised | 56 | 1 | transformers | 5,784 | ---
language: en
tags:
- tapas
license: apache-2.0
datasets:
- wikisql
---
# TAPAS large model fine-tuned on WikiSQL (in a supervised fashion)
his model has 2 versions which can be used. The default version corresponds to the `tapas_wikisql_sqa_inter_masklm_large_reset` checkpoint of the [original Github repository](... |
huggingtweets/abdi_smokes | 053c1e273c5ac057b02362253c37bccaaae753e4 | 2021-05-21T17:24:13.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/abdi_smokes | 56 | 1 | transformers | 5,785 | ---
language: en
thumbnail: https://www.huggingtweets.com/abdi_smokes/1618179038747/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1369684058037... |
huggingtweets/furrymicky | e5ddb65505694397a4c073b1f08fa9c0eeb19c6a | 2021-05-22T04:53:32.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/furrymicky | 56 | null | transformers | 5,786 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
<style>
@media (prefers-color-scheme: dark) {
.pros... |
hugorosen/flaubert_base_uncased-xnli-sts | 20c8c6c4bf023e1882ed8e1fb94b7a0a061db375 | 2021-11-30T15:36:33.000Z | [
"pytorch",
"flaubert",
"feature-extraction",
"fr",
"dataset:xnli",
"dataset:stsb_multi_mt",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | hugorosen | null | hugorosen/flaubert_base_uncased-xnli-sts | 56 | null | sentence-transformers | 5,787 | ---
pipeline_tag: sentence-similarity
language: fr
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
- fr
datasets:
- xnli
- stsb_multi_mt
---
# hugorosen/flaubert_base_uncased-xnli-sts
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs... |
jegormeister/bert-base-dutch-cased-snli | d507d8dc67f5c40103aeebfd8552595ad806484d | 2021-08-16T09:10:25.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | jegormeister | null | jegormeister/bert-base-dutch-cased-snli | 56 | 1 | sentence-transformers | 5,788 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# bert-base-dutch-cased-snli
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 task... |
lamhieu/distilbert-base-multilingual-cased-vietnamese-topicifier | 7b31114c03220acb89e26d7a0d20b051404cc713 | 2021-04-29T18:01:33.000Z | [
"pytorch",
"distilbert",
"text-classification",
"vi",
"transformers",
"vietnamese",
"topicifier",
"multilingual",
"tiny",
"license:mit"
] | text-classification | false | lamhieu | null | lamhieu/distilbert-base-multilingual-cased-vietnamese-topicifier | 56 | null | transformers | 5,789 | ---
language:
- vi
tags:
- vietnamese
- topicifier
- multilingual
- tiny
license:
- mit
pipeline_tag: text-classification
widget:
- text: "Đam mê của tôi là nhiếp ảnh"
---
# distilbert-base-multilingual-cased-vietnamese-topicifier
## About
Fine-tuning from `distilbert-base-multilingual-cased` with a tiny dataset abo... |
mbien/wav2vec2-large-xlsr-polish | 5802268ce272423e6772368bd971c5a5104f3c6f | 2021-07-06T12:38:34.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"pl",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | mbien | null | mbien/wav2vec2-large-xlsr-polish | 56 | null | transformers | 5,790 | ---
language: pl
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: mbien/wav2vec2-large-xlsr-polish
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
... |
verloop/Hinglish-Bert | 12bc17d68b1a41fe2c7a0897c25573cdd77c69e8 | 2021-05-20T08:58:33.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | verloop | null | verloop/Hinglish-Bert | 56 | null | transformers | 5,791 | Entry not found |
yazdipour/text-to-sparql-t5-base | 7d5a294a801b6edfcadbf5118e7629ef9e5ad1ed | 2021-10-19T18:16:39.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | yazdipour | null | yazdipour/text-to-sparql-t5-base | 56 | null | transformers | 5,792 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- null
metrics:
- f1
model-index:
- name: text-to-sparql-t5-base-2021-10-19_15-35_lastDS
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
metrics:
- name: F1
type: f1
value: 0.327... |
malmarjeh/transformer | bfc8db3880ac0abc7d947adba8177a7a410270d0 | 2022-06-29T13:49:39.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"ar",
"transformers",
"Transformer",
"MSA",
"Arabic Text Summarization",
"Arabic News Title Generation",
"Arabic Paraphrasing",
"autotrain_compatible"
] | text2text-generation | false | malmarjeh | null | malmarjeh/transformer | 56 | null | transformers | 5,793 | ---
language:
- ar
tags:
- Transformer
- MSA
- Arabic Text Summarization
- Arabic News Title Generation
- Arabic Paraphrasing
widget:
- text: "شهدت مدينة طرابلس، مساء أمس الأربعاء، احتجاجات شعبية وأعمال شغب لليوم الثالث على التوالي، وذلك بسبب تردي الوضع المعيشي والاقتصادي. واندلعت مواجهات عنيفة وعمليات كر... |
Marxav/frpron | 417c1c39b1b9ef2a8dd4cd44cd6b64a2cd5a3d67 | 2022-07-26T11:57:55.000Z | [
"pytorch",
"gpt2",
"text-generation",
"fr",
"dataset:Marxav/frpron",
"transformers"
] | text-generation | false | Marxav | null | Marxav/frpron | 56 | 1 | transformers | 5,794 | ---
language:
- fr
thumbnail: "url to a thumbnail used in social sharing"
tags:
- text-generation
datasets:
- Marxav/frpron
metrics:
- loss/eval
- perplexity
widget:
- text: "bonjour:"
- text: "salut, comment ça va:"
- text: "Louis XIII:"
- text: "anticonstitutionnellement:"
- text: "les animaux:"
inference:
parame... |
Helsinki-NLP/opus-mt-tc-big-gmq-en | eaa0e23392aded6a8a207d4522224a95532db343 | 2022-06-01T12:59:50.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tc",
"big",
"gmq",
"en",
"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-gmq-en | 56 | null | transformers | 5,795 | ---
language:
- da
- en
- fo
- gmq
- is
- nb
- nn
- false
- sv
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-gmq-en
results:
- task:
name: Translation dan-eng
type: translation
args: dan-eng
dataset:
name: flores101-devtest
type: flores_101... |
facebook/wav2vec2-conformer-rope-large-100h-ft | 6750d7e0a42c140730f9a5ad15eb1fd865fb51a6 | 2022-06-15T08:16:47.000Z | [
"pytorch",
"wav2vec2-conformer",
"automatic-speech-recognition",
"en",
"dataset:librispeech_asr",
"arxiv:2010.05171",
"transformers",
"speech",
"audio",
"hf-asr-leaderboard",
"license:apache-2.0"
] | automatic-speech-recognition | false | facebook | null | facebook/wav2vec2-conformer-rope-large-100h-ft | 56 | null | transformers | 5,796 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
license: apache-2.0
---
# Wav2Vec2-Conformer-Large-100h with Rotary Position Embeddings
Wav2Vec2 Conformer with rotary position embeddings, pretrained on 960h hours of Librispeech and fine-tuned on ... |
Evelyn18/distilbert-base-uncased-finetuned-squad | 229e1dfe28d7fb0d369d100a2101f1204c27f34c | 2022-06-22T03:50:33.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:becasv2",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | Evelyn18 | null | Evelyn18/distilbert-base-uncased-finetuned-squad | 56 | null | transformers | 5,797 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- becasv2
model-index:
- name: distilbert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then rem... |
nielsr/layoutlmv3-funsd-v2 | 301f7a9dc1416e286cb7219aff24630b06d0c09a | 2022-05-11T16:06:54.000Z | [
"pytorch",
"layoutlmv3",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | nielsr | null | nielsr/layoutlmv3-funsd-v2 | 56 | 1 | transformers | 5,798 | Entry not found |
emilylearning/cond_ft_birth_date_on_wiki_bio__prcnt_100__test_run_False | 70534a6aed98ce4575cf9f79fd2af024b3e24c00 | 2022-05-12T23:38:56.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/cond_ft_birth_date_on_wiki_bio__prcnt_100__test_run_False | 56 | null | transformers | 5,799 | Entry not found |
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