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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
NAACL2022/spider-nq-question-encoder | d2e07f122d4ca43d40095ead872a6b9951339594 | 2022-07-09T19:15:59.000Z | [
"pytorch",
"dpr",
"feature-extraction",
"arxiv:2112.07708",
"transformers"
] | feature-extraction | false | NAACL2022 | null | NAACL2022/spider-nq-question-encoder | 18 | 4 | transformers | 8,900 | # Spider-NQ: Question Encoder
This is the question encoder of the model fine-tuned on Natural Questions (and initialized from Spider) discussed in our paper [Learning to Retrieve Passages without Supervision](https://arxiv.org/abs/2112.07708).
## Usage
We used weight sharing for the query encoder and passage encoder... |
aatmasidha/distilbert-base-uncased-newsmodelclassification | e24375800e5aca9acad0a8bb500a576913012d55 | 2022-07-18T09:04:59.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | aatmasidha | null | aatmasidha/distilbert-base-uncased-newsmodelclassification | 18 | null | transformers | 8,901 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-newsmodelclassification
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: d... |
TimKond/S-BioLinkBert-MedQuAD | 2bb9fcce285771183ba11f0539411e565bdb7403 | 2022-07-12T17:28:55.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | TimKond | null | TimKond/S-BioLinkBert-MedQuAD | 18 | null | sentence-transformers | 8,902 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# TimKond/S-BioLinkBert-MedQuAD
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 t... |
RobertoFont/gpt2-large-bne-milunanoches | 5b32767243feb747026e2a9ca998b0619f6dbe36 | 2022-07-15T17:22:19.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | RobertoFont | null | RobertoFont/gpt2-large-bne-milunanoches | 18 | null | transformers | 8,903 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: gpt2-large-bne-milunanoches
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. -->
# gpt2-la... |
Johny201/autotrain-article_pred-1142742075 | b47ca1e9a50400459a6a328da66176cb164b6a10 | 2022-07-17T10:31:21.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:Johny201/autotrain-data-article_pred",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | Johny201 | null | Johny201/autotrain-article_pred-1142742075 | 18 | null | transformers | 8,904 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- Johny201/autotrain-data-article_pred
co2_eq_emissions: 3.973071565343572
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1142742075
- CO2 Emissions (in grams): 3.973071565343572
## Validation Metr... |
domenicrosati/pegasus-xsum-finetuned-paws | 1b13d84a776bb988c995b48e0eedeef8d9b0cef7 | 2022-07-17T17:20:35.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"dataset:paws",
"transformers",
"paraphrasing",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | domenicrosati | null | domenicrosati/pegasus-xsum-finetuned-paws | 18 | null | transformers | 8,905 | ---
tags:
- paraphrasing
- generated_from_trainer
datasets:
- paws
metrics:
- rouge
model-index:
- name: pegasus-xsum-finetuned-paws
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: paws
type: paws
args: labeled_final
metri... |
naem1023/electra-phrase-clause-classification-dev | 88c782df3662e865ed019c7d62038803f86e2a47 | 2022-07-25T05:17:52.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers",
"license:apache-2.0"
] | text-classification | false | naem1023 | null | naem1023/electra-phrase-clause-classification-dev | 18 | null | transformers | 8,906 | ---
license: apache-2.0
---
|
erikanesse/test-trainer-gbb-4 | 97170c598ca76bb4a008cea67e7eaa08c02574ec | 2022-07-20T20:04:33.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"model-index"
] | text-generation | false | erikanesse | null | erikanesse/test-trainer-gbb-4 | 18 | 1 | transformers | 8,907 | ---
tags:
- generated_from_trainer
model-index:
- name: test-trainer-gbb-4
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. -->
# test-trainer-gbb-4
This model is a ... |
Danessely/distilroberta-base-finetuned-dna | 9738b6cf8bcc95d56e8ecc0f5e542d436d936028 | 2022-07-20T11:17:31.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Danessely | null | Danessely/distilroberta-base-finetuned-dna | 18 | null | transformers | 8,908 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-finetuned-dna
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# di... |
DL4NLP-Group4/huawei-noahTinyBERT_General_6L_768_HotpotQA | 67cfa2244eddf60dd16ed67bb62668f16fc20f12 | 2022-07-25T09:51:16.000Z | [
"pytorch",
"bert",
"question-answering",
"en",
"dataset:HotpotQA",
"transformers",
"tag1",
"tag2",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | DL4NLP-Group4 | null | DL4NLP-Group4/huawei-noahTinyBERT_General_6L_768_HotpotQA | 18 | null | transformers | 8,909 | ---
language:
- en
tags:
- tag1
- tag2
license: apache-2.0
datasets:
- HotpotQA
metrics:
- SQuad
---
This model fine-tuned `huawei-noahTinyBERT_General_6L_768` on `HotpotQA`.
| EM | F1 |
|------------|----------|
| 31.552419 | 53.535072 |
|
Evelyn18/roberta-base-spanish-squades-modelo2 | a2ce6eafb9b0624efdfc613e63230c1addfdbb6a | 2022-07-22T23:23:22.000Z | [
"pytorch",
"tensorboard",
"roberta",
"question-answering",
"dataset:becasv2",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | Evelyn18 | null | Evelyn18/roberta-base-spanish-squades-modelo2 | 18 | null | transformers | 8,910 | ---
tags:
- generated_from_trainer
datasets:
- becasv2
model-index:
- name: roberta-base-spanish-squades-modelo2
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. -->
... |
BigSalmon/InformalToFormalLincoln58Paraphrase | e0f66e221429b8dec0707ccef1fa7b94506d8a3a | 2022-07-26T23:10:43.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | BigSalmon | null | BigSalmon/InformalToFormalLincoln58Paraphrase | 18 | null | transformers | 8,911 | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln58Paraphrase")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln58Paraphrase")
```
```
How To Make Prompt:
informal english: i am very ready to do... |
simecek/knotted_proteins_demo_model | beb41f53eb7ef8e560fa0f6d047777f1dcf384de | 2022-07-27T10:35:35.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | simecek | null | simecek/knotted_proteins_demo_model | 18 | null | transformers | 8,912 | Entry not found |
xlm-mlm-enro-1024 | 7f160633a5699aafb54fe49e89dd7fe52afefc67 | 2022-07-22T08:08:35.000Z | [
"pytorch",
"tf",
"xlm",
"fill-mask",
"multilingual",
"en",
"ro",
"arxiv:1901.07291",
"arxiv:1910.09700",
"transformers",
"license:cc-by-nc-4.0",
"autotrain_compatible"
] | fill-mask | false | null | null | xlm-mlm-enro-1024 | 17 | null | transformers | 8,913 | ---
language:
- multilingual
- en
- ro
license: cc-by-nc-4.0
---
# xlm-mlm-enro-1024
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Bias, Risks, and Limitations](#bias-risks-and-limitations)
4. [Training](#training)
5. [Evaluation](#evaluation)
6. [Environmental Impact](#environmental... |
AI-Nordics/bert-large-swedish-cased | b7925d4c25c2ec8ebc0e73493c18180e5875d34e | 2022-02-15T16:52:53.000Z | [
"pytorch",
"megatron-bert",
"fill-mask",
"sv",
"transformers",
"autotrain_compatible"
] | fill-mask | false | AI-Nordics | null | AI-Nordics/bert-large-swedish-cased | 17 | 5 | transformers | 8,914 | ---
language: sv
---
# A Swedish Bert model
## Model description
This model follows the Bert Large model architecture as implemented in [Megatron-LM framework](https://github.com/NVIDIA/Megatron-LM). It was trained with a batch size of 512 in 600k steps. The model contains following parameters:
<figure>
| Hyperparam... |
ARTeLab/it5-summarization-mlsum | 5373dc3b5f7d63a7f338a5c565dd5a18b6376805 | 2022-05-03T06:06:51.000Z | [
"pytorch",
"t5",
"text2text-generation",
"it",
"dataset:ARTeLab/mlsum-it",
"transformers",
"summarization",
"model-index",
"autotrain_compatible"
] | summarization | false | ARTeLab | null | ARTeLab/it5-summarization-mlsum | 17 | null | transformers | 8,915 | ---
tags:
- summarization
language:
- it
metrics:
- rouge
model-index:
- name: summarization_mlsum
results: []
datasets:
- ARTeLab/mlsum-it
---
# summarization_mlsum
This model is a fine-tuned version of [gsarti/it5-base](https://huggingface.co/gsarti/it5-base) on MLSum-it for Abstractive Summarization.
It achieve... |
AkshatSurolia/ConvNeXt-FaceMask-Finetuned | 5127ba7a1dc3ca50b44c2bf75326818fa1bc8d37 | 2022-02-18T13:51:14.000Z | [
"pytorch",
"convnext",
"image-classification",
"dataset:Face-Mask18K",
"transformers",
"license:apache-2.0"
] | image-classification | false | AkshatSurolia | null | AkshatSurolia/ConvNeXt-FaceMask-Finetuned | 17 | null | transformers | 8,916 | ---
license: apache-2.0
tags:
- image-classification
datasets:
- Face-Mask18K
---
# ConvNeXt for Face Mask Detection
ConvNeXt model pre-trained and fine-tuned on Self Currated Custom Face-Mask18K Dataset (18k images, 2 classes) at resolution 224x224. It was introduced in the paper A ConvNet for the 2020s b... |
Aleksandar/bert-srb-ner | 1774bdf93f0afd493632d7ebd5d3dc4e3e3c31c6 | 2021-09-07T21:20:22.000Z | [
"pytorch",
"bert",
"token-classification",
"dataset:wikiann",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | false | Aleksandar | null | Aleksandar/bert-srb-ner | 17 | null | transformers | 8,917 | ---
tags:
- generated_from_trainer
datasets:
- wikiann
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: bert-srb-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: wikiann
type: wikiann
args: sr
metric:
name: Accura... |
Aries/T5_question_answering | 03a6a5b19f0b7b776ae4c7b3dac91464a8f59c71 | 2021-06-23T02:02:37.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Aries | null | Aries/T5_question_answering | 17 | null | transformers | 8,918 | Entry not found |
BSC-TeMU/roberta-base-bne-sqac | f86245feb25c0ed586c0ca0bbcd9d35e0e83f7b7 | 2021-10-21T10:30:10.000Z | [
"pytorch",
"roberta",
"question-answering",
"es",
"dataset:BSC-TeMU/SQAC",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"qa",
"question answering",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | BSC-TeMU | null | BSC-TeMU/roberta-base-bne-sqac | 17 | 3 | transformers | 8,919 | ---
language:
- es
license: apache-2.0
tags:
- "national library of spain"
- "spanish"
- "bne"
- "qa"
- "question answering"
datasets:
- "BSC-TeMU/SQAC"
metrics:
- "f1"
---
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-... |
CAMeL-Lab/bert-base-arabic-camelbert-ca-ner | 1e8669667dc99b989defa2bb336c866dff546528 | 2021-10-17T11:14:08.000Z | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | CAMeL-Lab | null | CAMeL-Lab/bert-base-arabic-camelbert-ca-ner | 17 | null | transformers | 8,920 | ---
language:
- ar
license: apache-2.0
widget:
- text: "إمارة أبوظبي هي إحدى إمارات دولة الإمارات العربية المتحدة السبع"
---
# CAMeLBERT-CA NER Model
## Model description
**CAMeLBERT-CA NER Model** is a Named Entity Recognition (NER) model that was built by fine-tuning the [CAMeLBERT Classical Arabic (CA)](https://hu... |
CenIA/albert-base-spanish-finetuned-mldoc | 60c591701e9640db2aa2d4b3cb63cf59a0c81e0f | 2022-01-10T10:15:50.000Z | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | false | CenIA | null | CenIA/albert-base-spanish-finetuned-mldoc | 17 | null | transformers | 8,921 | Entry not found |
CenIA/bert-base-spanish-wwm-uncased-finetuned-ner | 82c7146b2bba0bc24f9e8284abc9bd45999f5735 | 2021-12-28T21:18:27.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | CenIA | null | CenIA/bert-base-spanish-wwm-uncased-finetuned-ner | 17 | null | transformers | 8,922 | Entry not found |
CleveGreen/JobClassifier | a00e957489ddc0ca9a22d11d5dd9b7c4c92a7bd7 | 2021-08-03T18:10:50.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | CleveGreen | null | CleveGreen/JobClassifier | 17 | null | transformers | 8,923 | Entry not found |
Davlan/xlm-roberta-base-finetuned-luo | 867d5ab268a019e58091c7e4aada56b95cc045ab | 2021-06-30T21:21:39.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"luo",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Davlan | null | Davlan/xlm-roberta-base-finetuned-luo | 17 | null | transformers | 8,924 | Hugging Face's logo
---
language: luo
datasets:
---
# xlm-roberta-base-finetuned-luo
## Model description
**xlm-roberta-base-finetuned-luo** is a **Luo RoBERTa** model obtained by fine-tuning **xlm-roberta-base** model on Luo language texts. It provides **better performance** than the XLM-RoBERTa on named entity reco... |
Davlan/xlm-roberta-base-finetuned-wolof | b1a3292ca97ed8112b28cc7107d761e1e3783fa1 | 2021-06-30T15:56:31.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"wo",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Davlan | null | Davlan/xlm-roberta-base-finetuned-wolof | 17 | null | transformers | 8,925 | Hugging Face's logo
---
language: wo
datasets:
---
# xlm-roberta-base-finetuned-wolof
## Model description
**xlm-roberta-base-finetuned-luganda** is a **Wolof RoBERTa** model obtained by fine-tuning **xlm-roberta-base** model on Wolof language texts. It provides **better performance** than the XLM-RoBERTa on named en... |
Davlan/xlm-roberta-base-finetuned-yoruba | 6d9e5182a87d1a4e8b2a3feb66fc7c6b3c665b45 | 2021-05-28T13:53:56.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"yo",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Davlan | null | Davlan/xlm-roberta-base-finetuned-yoruba | 17 | null | transformers | 8,926 | Hugging Face's logo
---
language: yo
datasets:
---
# xlm-roberta-base-finetuned-yoruba
## Model description
**xlm-roberta-base-finetuned-yoruba** is a **Yoruba RoBERTa** model obtained by fine-tuning **xlm-roberta-base** model on Yorùbá language texts. It provides **better performance** than the XLM-RoBERTa on text c... |
EhsanAghazadeh/xlnet-large-cased-CoLA_A | 48a6ccfe1c747c145e5f74d93f4c85bd35bf43c4 | 2021-04-19T10:05:16.000Z | [
"pytorch",
"xlnet",
"text-classification",
"transformers"
] | text-classification | false | EhsanAghazadeh | null | EhsanAghazadeh/xlnet-large-cased-CoLA_A | 17 | null | transformers | 8,927 | Entry not found |
Emmanuel/bert-finetuned-ner | a6e1e133d710c8cbd1c251326c220fd6a366098f | 2021-12-01T11:05:45.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Emmanuel | null | Emmanuel/bert-finetuned-ner | 17 | null | transformers | 8,928 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: c... |
Geotrend/distilbert-base-25lang-cased | fda800c1a39bf7e8f2498f1646fa60dd0e40eb6c | 2021-07-26T16:11:17.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/distilbert-base-25lang-cased | 17 | 1 | transformers | 8,929 | ---
language: multilingual
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 est la [MASK] de la France."
- text: "Paris est la capitale de la [MASK]."
- te... |
Geotrend/distilbert-base-ja-cased | a0d6bc69bf1e1d710a37f2beba947fee997bd530 | 2021-07-29T17:01:48.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"ja",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/distilbert-base-ja-cased | 17 | null | transformers | 8,930 | ---
language: ja
datasets: wikipedia
license: apache-2.0
---
# distilbert-base-ja-cased
We are sharing smaller versions of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) that handle a custom number of languages.
Our versions give exactly the same representations pro... |
Helsinki-NLP/opus-mt-ccs-en | 7b9239b35748e55442b0f85d89614a1156c371b1 | 2021-01-18T07:53:32.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ka",
"ccs",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ccs-en | 17 | null | transformers | 8,931 | ---
language:
- ka
- ccs
- en
tags:
- translation
license: apache-2.0
---
### ccs-eng
* source group: South Caucasian languages
* target group: English
* OPUS readme: [ccs-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ccs-eng/README.md)
* model: transformer
* source language(s): ka... |
Helsinki-NLP/opus-mt-crs-en | 7ee4bb979dd28886b7d98f890298c4548e84a847 | 2021-09-09T21:28:59.000Z | [
"pytorch",
"marian",
"text2text-generation",
"crs",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-crs-en | 17 | null | transformers | 8,932 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-crs-en
* source languages: crs
* target languages: en
* OPUS readme: [crs-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-da-es | 59b50e55d16babe69b0facb1fb1c4dfb175328fe | 2021-09-09T21:29:56.000Z | [
"pytorch",
"marian",
"text2text-generation",
"da",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-da-es | 17 | null | transformers | 8,933 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-da-es
* source languages: da
* target languages: es
* OPUS readme: [da-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-de-hu | 4b30440320ea86d33b6927fe70c46e20f671da86 | 2021-09-09T21:31:50.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"hu",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-hu | 17 | null | transformers | 8,934 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-hu
* source languages: de
* target languages: hu
* OPUS readme: [de-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-hu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-el-sv | e8894cf2f5713e1cc68fe7710636ecc4b4dc99d7 | 2021-09-09T21:33:54.000Z | [
"pytorch",
"marian",
"text2text-generation",
"el",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-el-sv | 17 | null | transformers | 8,935 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-el-sv
* source languages: el
* target languages: sv
* OPUS readme: [el-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/el-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-ln | 95c6ade5cb0569f7f73a98a8b1dbb4955ddd3107 | 2021-09-09T21:36:55.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"ln",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-ln | 17 | null | transformers | 8,936 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-ln
* source languages: en
* target languages: ln
* OPUS readme: [en-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ln/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-ng | 02eba1d2ddf774aec3558ae031c3795d4ded61c8 | 2021-09-09T21:37:58.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"ng",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-ng | 17 | null | transformers | 8,937 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-ng
* source languages: en
* target languages: ng
* OPUS readme: [en-ng](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ng/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-eo-es | a79df1be257257e0247b626143f263d7a6b28ab8 | 2021-09-09T21:40:57.000Z | [
"pytorch",
"marian",
"text2text-generation",
"eo",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-eo-es | 17 | null | transformers | 8,938 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-eo-es
* source languages: eo
* target languages: es
* OPUS readme: [eo-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-es-ber | f7a613f7b3b150e1edeeaebcd692388cbe55dc74 | 2021-09-09T21:41:19.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"ber",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-ber | 17 | null | transformers | 8,939 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-ber
* source languages: es
* target languages: ber
* OPUS readme: [es-ber](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ber/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-es-ro | 6f05b59d19efade88c6b62c383d542ddadda6d5c | 2021-09-09T21:44:23.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"ro",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-ro | 17 | null | transformers | 8,940 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-ro
* source languages: es
* target languages: ro
* OPUS readme: [es-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ro/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-eu-ru | 5e5ec0f9c48f49314b9c83d0f6b338d4efa81fef | 2021-01-18T08:31:17.000Z | [
"pytorch",
"marian",
"text2text-generation",
"eu",
"ru",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-eu-ru | 17 | null | transformers | 8,941 | ---
language:
- eu
- ru
tags:
- translation
license: apache-2.0
---
### eus-rus
* source group: Basque
* target group: Russian
* OPUS readme: [eus-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-rus/README.md)
* model: transformer-align
* source language(s): eus
* target language... |
Helsinki-NLP/opus-mt-fi_nb_no_nn_ru_sv_en-SAMI | 56e0e8ec89bd4161facd110b562332a309596562 | 2021-09-09T21:52:33.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"nb",
"no",
"nn",
"ru",
"sv",
"en",
"sami",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi_nb_no_nn_ru_sv_en-SAMI | 17 | null | transformers | 8,942 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi_nb_no_nn_ru_sv_en-SAMI
* source languages: fi,nb,no,nn,ru,sv,en
* target languages: se,sma,smj,smn,sms
* OPUS readme: [fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi+nb+no+nn+ru+sv+en-se+sma+s... |
Helsinki-NLP/opus-mt-kwy-en | b369959cbe8dfdb1dceab0263ec2d7d1243deeb1 | 2021-09-10T13:54:28.000Z | [
"pytorch",
"marian",
"text2text-generation",
"kwy",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-kwy-en | 17 | null | transformers | 8,943 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-kwy-en
* source languages: kwy
* target languages: en
* OPUS readme: [kwy-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwy-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Intel/distilbert-base-uncased-sparse-85-unstructured-pruneofa | a28144143d1d5e600ba792309d0ca0befa49cc41 | 2021-12-05T13:40:34.000Z | [
"pytorch",
"tf",
"distilbert",
"fill-mask",
"en",
"arxiv:2111.05754",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Intel | null | Intel/distilbert-base-uncased-sparse-85-unstructured-pruneofa | 17 | null | transformers | 8,944 | ---
language: en
---
# 85% Sparse DistilBERT-Base (uncased) Prune OFA
This model is a result from our paper [Prune Once for All: Sparse Pre-Trained Language Models](https://arxiv.org/abs/2111.05754) presented in ENLSP NeurIPS Workshop 2021.
For further details on the model and its result, see our paper and our impleme... |
Kamel/t5-darija-summarization | a37681e9e9616578ea07b11011686e7c290755ed | 2022-05-24T08:40:29.000Z | [
"pytorch",
"t5",
"text2text-generation",
"ar",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Kamel | null | Kamel/t5-darija-summarization | 17 | null | transformers | 8,945 | ---
language: ar
widget:
- text: " كشف الملياردير الميريكاني ومؤسس شركة “مايكروسوفت”، بيل كَيتس، بللي ماعندوش حتى فلوس رقمية، وكيفضل يستثمر فلوسو فالأشياء اللي عندها قيمة، حسب كلامو. جريدة “بريطانية قالت أن تصريحات كَيتس على العملات المشفرة كانت بمناسبة حدث “سولني على أي حاجة”، اللي تنظم على موقع “ريديت” الشهير.بيل كَ... |
KoichiYasuoka/bert-base-japanese-unidic-luw-upos | b9ed3ff80dec8b8890849f75b001525385081eda | 2022-05-23T16:18:10.000Z | [
"pytorch",
"bert",
"token-classification",
"ja",
"dataset:universal_dependencies",
"transformers",
"japanese",
"pos",
"wikipedia",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/bert-base-japanese-unidic-luw-upos | 17 | null | transformers | 8,946 | ---
language:
- "ja"
tags:
- "japanese"
- "token-classification"
- "pos"
- "wikipedia"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
widget:
- text: "国境の長いトンネルを抜けると雪国であった。"
---
# bert-base-japanese-unidic-luw-upos
## Model Description
This is... |
Langame/convai-gpt-j-6B-8bit | 3bb74579a62111484f8da22fb2c9aac80e10b586 | 2021-12-28T20:20:49.000Z | [
"pytorch",
"gptj",
"text-generation",
"transformers"
] | text-generation | false | Langame | null | Langame/convai-gpt-j-6B-8bit | 17 | 1 | transformers | 8,947 | Entry not found |
LiqiangXiao/summarization | 895bc8522abd1a957220caca3f6812026bce7fd7 | 2022-01-20T05:01:36.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | LiqiangXiao | null | LiqiangXiao/summarization | 17 | 4 | transformers | 8,948 | ## Copy-or-Rewrite
This repository contains the code of paper "Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning". A model built for human-like summarization task and trained with Actor-critic Reinforcement Learning. This work significantly improved the ROUGE scores on CNN/DM dataset by 1.7... |
Maelstrom77/roberta-large-mnli | 97ce0942bc885c801e7130270360da8a3df4e3ba | 2021-10-04T14:15:23.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | Maelstrom77 | null | Maelstrom77/roberta-large-mnli | 17 | null | transformers | 8,949 | Entry not found |
Magolor/deepstruct | a9d6ab6a2dc7d55530a047055a2c831ff00ad7bb | 2022-07-07T07:38:26.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | Magolor | null | Magolor/deepstruct | 17 | null | transformers | 8,950 | Entry not found |
NDugar/deberta-v2-xlarge-mnli | 9eb624deda78b9b426bb8ebebe6d22ea3ddfb520 | 2021-12-17T17:05:08.000Z | [
"pytorch",
"deberta-v2",
"text-classification",
"en",
"transformers",
"deberta-v3",
"deberta-v2`",
"deberta-mnli",
"license:mit",
"zero-shot-classification"
] | zero-shot-classification | false | NDugar | null | NDugar/deberta-v2-xlarge-mnli | 17 | null | transformers | 8,951 | ---
language: en
tags:
- deberta-v3
- deberta-v2`
- deberta-mnli
tasks: mnli
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
license: mit
pipeline_tag: zero-shot-classification
---
I tried to train v3 xl to mnli using my own training code and got this result. |
Norod78/hebrew_poetry-gpt_neo-tiny | e54c4c90fb550e9cc8c1cc1b35f4ebefcf4fefa7 | 2022-07-04T07:26:05.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"he",
"transformers",
"license:mit"
] | text-generation | false | Norod78 | null | Norod78/hebrew_poetry-gpt_neo-tiny | 17 | null | transformers | 8,952 | ---
language: he
thumbnail: https://avatars1.githubusercontent.com/u/3617152?norod.jpg
widget:
- text: "שתי רכבות דוהרות בתוך עיני"
- text: "הים כחול ואני"
- text: "שם היצירה:"
- text: "רציתי"
license: mit
---
# hebrew_poetry-gpt_neo-tiny
Hebrew poetry text generation model, fined tuned upon [hebrew-gpt_neo-tiny](h... |
Palak/xlm-roberta-large_squad | 63239100dd057b6e558c206136645a36f3e5a485 | 2021-12-25T20:19:12.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | Palak | null | Palak/xlm-roberta-large_squad | 17 | null | transformers | 8,953 | ---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: xlm-roberta-base_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 remove this comment. -->
# eval
This mod... |
SEBIS/legal_t5_small_summ_multitask_en | 2a5c14ca327fe3fc93ed077e69afd90157c7b04d | 2021-06-23T11:25:29.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | SEBIS | null | SEBIS/legal_t5_small_summ_multitask_en | 17 | null | transformers | 8,954 | Entry not found |
Sid51/ChanBot | 77c32d28ac08838896cc360cdf7df03880d90735 | 2021-06-12T17:02:03.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | Sid51 | null | Sid51/ChanBot | 17 | null | transformers | 8,955 | Entry not found |
Tereveni-AI/gpt2-124M-uk-fiction | 50a873cc91bf7ebb4f864884b27de35ac96b2c96 | 2021-05-21T11:16:43.000Z | [
"pytorch",
"jax",
"gpt2",
"uk",
"transformers"
] | null | false | Tereveni-AI | null | Tereveni-AI/gpt2-124M-uk-fiction | 17 | 2 | transformers | 8,956 | ---
language: uk
---
Note: **default code snippet above won't work** because we are using `AlbertTokenizer` with `GPT2LMHeadModel`, see [issue](https://github.com/huggingface/transformers/issues/4285).
## GPT2 124M Trained on Ukranian Fiction
### Training details
Model was trained on corpus of 4040 fiction books, 2... |
Yv/bert-finetuned-ner | 7317243761a7afb2022d2258a0da636638d3f993 | 2021-12-23T13:08:03.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Yv | null | Yv/bert-finetuned-ner | 17 | null | transformers | 8,957 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: c... |
airKlizz/xlm-roberta-base-germeval21-toxic-with-data-augmentation | e70c08c3fdcefc97a19dd2d3683a4907295835a3 | 2021-07-12T14:44:31.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | false | airKlizz | null | airKlizz/xlm-roberta-base-germeval21-toxic-with-data-augmentation | 17 | null | transformers | 8,958 | Entry not found |
alireza7/TRANSFORMER-persian-base-PN-summary | 26cb3aa982743edc58b5b6649a7084321fcc3aa2 | 2021-09-29T19:26:30.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | alireza7 | null | alireza7/TRANSFORMER-persian-base-PN-summary | 17 | null | transformers | 8,959 | More information about models is available [here](https://github.com/alirezasalemi7/ARMAN). |
amazon-sagemaker-community/xlm-roberta-en-ru-emoji-v2 | 68d021702db7486df720c1fa321611456f5105ad | 2021-11-19T10:36:39.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | amazon-sagemaker-community | null | amazon-sagemaker-community/xlm-roberta-en-ru-emoji-v2 | 17 | null | transformers | 8,960 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlm-roberta-en-ru-emoji-v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-robe... |
tner/xlm-roberta-large-fin | 3f890642c00d19fa8a5acd7d3d5217f17705e80d | 2021-02-13T00:04:30.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-large-fin | 17 | null | transformers | 8,961 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-large-fin")
model = AutoMod... |
bettertextapp/m2m_1.2B_paraphrase_en_de_v1 | b6a8b5bb37161fe24e583fc707492d7c75f31a17 | 2022-02-14T22:18:29.000Z | [
"pytorch",
"tensorboard",
"m2m_100",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | bettertextapp | null | bettertextapp/m2m_1.2B_paraphrase_en_de_v1 | 17 | null | transformers | 8,962 | Entry not found |
bhavikardeshna/xlm-roberta-base-chinese | 15724e33738f0cee130f28b9fdd4f374280afcbf | 2021-12-21T11:40:50.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"arxiv:2112.09866",
"transformers",
"autotrain_compatible"
] | question-answering | false | bhavikardeshna | null | bhavikardeshna/xlm-roberta-base-chinese | 17 | null | transformers | 8,963 | # 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},... |
bigwiz83/sapbert-from-pubmedbert-squad2 | 5a14b59be173f2073caae87ddd7a1e5a3ee3053f | 2021-07-02T12:05:14.000Z | [
"pytorch",
"bert",
"question-answering",
"dataset:squad_v2",
"transformers",
"autotrain_compatible"
] | question-answering | false | bigwiz83 | null | bigwiz83/sapbert-from-pubmedbert-squad2 | 17 | null | transformers | 8,964 | ---
datasets:
- squad_v2
model_index:
- name: sapbert-from-pubmedbert-squad2
results:
- task:
name: Question Answering
type: question-answering
dataset:
name: squad_v2
type: squad_v2
args: squad_v2
---
<!-- This model card has been generated automatically according to the informat... |
cahya/wav2vec2-base-turkish | e9a97a269d58efb5393becfb7f55a484e0070e80 | 2022-03-23T18:26:22.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"tr",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"common_voice",
"generated_from_trainer",
"hf-asr-leaderboard",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | cahya | null | cahya/wav2vec2-base-turkish | 17 | 4 | transformers | 8,965 | ---
language:
- tr
license: apache-2.0
tags:
- automatic-speech-recognition
- common_voice
- generated_from_trainer
- hf-asr-leaderboard
- robust-speech-event
- tr
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: Wav2Vec2 Base Turkish by Cahya
results:
- task:
name: Automatic Speech Recogn... |
chompk/wav2vec2-large-xlsr-thai-tokenized | 34e0e546655dc18f64ba77bb6fe9734099179432 | 2021-07-06T00:36:51.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"th",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning",
"license:apache-2.0"
] | automatic-speech-recognition | false | chompk | null | chompk/wav2vec2-large-xlsr-thai-tokenized | 17 | 1 | transformers | 8,966 | ---
language: th
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning
license: apache-2.0
---
# Wav2Vec2-Large-XLSR-53 in Thai Language (Train with deepcut tokenizer)
|
clue/xlnet_chinese_large | f3b3caf82b5f00cfcd9a8c0aeb410045a1ffb3d4 | 2020-12-11T21:36:08.000Z | [
"pytorch",
"xlnet",
"zh",
"transformers"
] | null | false | clue | null | clue/xlnet_chinese_large | 17 | null | transformers | 8,967 | ---
language: zh
---
## xlnet_chinese_large
### Overview
**Language model:** xlnet-large
**Model size:** 1.3G
**Language:** Chinese
**Training data:** [CLUECorpusSmall](https://github.com/CLUEbenchmark/CLUECorpus2020)
**Eval data:** [CLUE dataset](https://github.com/CLUEbenchmark/CLUE)
### Results
For results on d... |
cointegrated/rut5-base-review | 1d402e7b4c0e9f35f5339066031110d64f789c13 | 2021-10-17T17:54:25.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | cointegrated | null | cointegrated/rut5-base-review | 17 | null | transformers | 8,968 | Entry not found |
coppercitylabs/uzbert-base-uncased | 6eeb1c69ceff3201f343cff4a1d9b8148d06fbac | 2021-09-22T08:17:56.000Z | [
"pytorch",
"bert",
"fill-mask",
"uz",
"dataset:webcrawl",
"arxiv:2108.09814",
"transformers",
"uzbert",
"uzbek",
"cyrillic",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | coppercitylabs | null | coppercitylabs/uzbert-base-uncased | 17 | null | transformers | 8,969 | ---
language: uz
tags:
- uzbert
- uzbek
- bert
- cyrillic
license: mit
datasets:
- webcrawl
---
# UzBERT base model (uncased)
Pretrained model on Uzbek language (Cyrillic script) using a masked
language modeling and next sentence prediction objectives.
## How to use
You can use this model directly with a pipeline f... |
dannersm/wav2vec2-large-xlsr-53-chilean-lessons | fc5388b20b8afb4be53bf80d1de2dca741bb3262 | 2022-06-27T19:29:40.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | dannersm | null | dannersm/wav2vec2-large-xlsr-53-chilean-lessons | 17 | null | transformers | 8,970 | Entry not found |
davanstrien/vit-manuscripts | 3fa6a7df4cca9cc4ddac498fdf3f9927b3adc7eb | 2022-02-02T22:40:58.000Z | [
"pytorch",
"tensorboard",
"vit_mae",
"pretraining",
"transformers",
"masked-auto-encoding",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | null | false | davanstrien | null | davanstrien/vit-manuscripts | 17 | null | transformers | 8,971 | ---
license: apache-2.0
tags:
- masked-auto-encoding
- generated_from_trainer
model-index:
- name: vit-manuscripts
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. -->... |
dbsamu/deberta-base-finetuned-ner | 78d2a24e72ddf68e980726259541f0609409b7f0 | 2022-01-21T18:25:55.000Z | [
"pytorch",
"tensorboard",
"deberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | dbsamu | null | dbsamu/deberta-base-finetuned-ner | 17 | 1 | transformers | 8,972 | Entry not found |
digit82/kogpt2-summarization | d93f0fd19efd0368bc6ca379b5b0a96845d8f439 | 2021-09-22T14:45:06.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | digit82 | null | digit82/kogpt2-summarization | 17 | null | transformers | 8,973 | Entry not found |
edugp/wav2vec2-xls-r-300m-36-tokens-with-lm-es | 717efd18b6d11e578de166c376ab1b5a7a9f5593 | 2022-03-23T18:28:19.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"es",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | edugp | null | edugp/wav2vec2-xls-r-300m-36-tokens-with-lm-es | 17 | null | transformers | 8,974 | ---
license: apache-2.0
language:
- es
tags:
- es
- generated_from_trainer
- hf-asr-leaderboard
- robust-speech-event
datasets:
- common_voice
model-index:
- name: wav2vec2-xls-r-300m-36-tokens-with-lm-es
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
nam... |
emre/distilbert-tr-q-a | 1fa82acdc35b00ae008477b02f181cda4e83b29a | 2022-02-17T13:40:11.000Z | [
"pytorch",
"bert",
"question-answering",
"tr",
"dataset:TQuAD",
"transformers",
"loodos-bert-base",
"TQuAD",
"autotrain_compatible"
] | question-answering | false | emre | null | emre/distilbert-tr-q-a | 17 | null | transformers | 8,975 | ---
language: tr
tags:
- question-answering
- loodos-bert-base
- TQuAD
- tr
datasets:
- TQuAD
---
# Turkish SQuAD Model : Question Answering
Fine-tuned Loodos-Turkish-Bert-Model for Question-Answering problem with TQuAD dataset
* Loodos-BERT-base: https://huggingface.co/loodos/bert-base-turkish-uncased
* TQuAD dat... |
gagan3012/keytotext-gpt | 90757bac25de2d1205a98b04fb8697d6fbd5ab0d | 2021-05-21T16:04:39.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | gagan3012 | null | gagan3012/keytotext-gpt | 17 | null | transformers | 8,976 | Entry not found |
gchhablani/fnet-base-finetuned-wnli | ad9d8ca9950f2ae4480d2fcb5d9dbefb2bfb4bae | 2021-09-20T09:07:59.000Z | [
"pytorch",
"tensorboard",
"fnet",
"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/fnet-base-finetuned-wnli | 17 | null | transformers | 8,977 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- accuracy
model-index:
- name: fnet-base-finetuned-wnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE WNLI
type: glue
... |
ghadeermobasher/BC4CHEMD-Modified_scibert_scivocab_cased | 9cd7ec2af56ffa05d042ff3c855979b8007bf0e6 | 2022-01-24T03:08:45.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD-Modified_scibert_scivocab_cased | 17 | null | transformers | 8,978 | Entry not found |
ghadeermobasher/BC4CHEMD_Imbalancedscibert_scivocab_cased | d65763bca6132fa1599e0420e0aba46a4b0de34e | 2022-01-24T03:12:41.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD_Imbalancedscibert_scivocab_cased | 17 | null | transformers | 8,979 | Entry not found |
giganticode/bert-base-code_comments | fc469b2f87912e102a1facfde637d445025d2521 | 2021-10-25T12:59:40.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | giganticode | null | giganticode/bert-base-code_comments | 17 | null | transformers | 8,980 | Entry not found |
gsarti/covidbert-nli | 477f49d112b00be886f7f5ce6fdf9f8cd73c9bd9 | 2021-05-19T17:48:24.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | gsarti | null | gsarti/covidbert-nli | 17 | null | transformers | 8,981 | # CovidBERT-NLI
This is the model **CovidBERT** trained by DeepSet on AllenAI's [CORD19 Dataset](https://pages.semanticscholar.org/coronavirus-research) of scientific articles about coronaviruses.
The model uses the original BERT wordpiece vocabulary and was subsequently fine-tuned on the [SNLI](https://nlp.stanford.... |
hf-internal-testing/tiny-random-megatron-bert | b71486855a524afe43c166e689b4cb524e3ad04a | 2021-07-24T15:19:56.000Z | [
"pytorch",
"megatron-bert",
"transformers"
] | null | false | hf-internal-testing | null | hf-internal-testing/tiny-random-megatron-bert | 17 | null | transformers | 8,982 | Entry not found |
huaen/question_detection | 575041aae53f7da3e32f2bf1c7717029441e435a | 2021-10-24T12:18:56.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | huaen | null | huaen/question_detection | 17 | 1 | transformers | 8,983 | Entry not found |
huggingartists/nirvana | b1a39ba57e8f8e4056a020229fd37eba2778910f | 2022-02-21T01:51:05.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:huggingartists/nirvana",
"transformers",
"huggingartists",
"lyrics",
"lm-head",
"causal-lm"
] | text-generation | false | huggingartists | null | huggingartists/nirvana | 17 | null | transformers | 8,984 | ---
language: en
datasets:
- huggingartists/nirvana
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; height:9... |
huggingartists/radiohead | e0ee1924e14445e3a9d87c44efba057433172151 | 2022-03-09T09:46:07.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:huggingartists/radiohead",
"transformers",
"huggingartists",
"lyrics",
"lm-head",
"causal-lm"
] | text-generation | false | huggingartists | null | huggingartists/radiohead | 17 | null | transformers | 8,985 | ---
language: en
datasets:
- huggingartists/radiohead
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; height... |
huggingtweets/_buddha_quotes | 95978ab82ecc05d3b16f4d6be23d46ec3c6b3215 | 2021-05-21T16:55:55.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/_buddha_quotes | 17 | 1 | transformers | 8,986 | ---
language: en
thumbnail: https://www.huggingtweets.com/_buddha_quotes/1609541828144/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
<style>
@media (prefers-color-scheme: dark) {
.prose {... |
huggingtweets/afinchwrites | eb35f213848b7ccf0f420ada35646c19def5f0f3 | 2021-05-21T17:47:53.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/afinchwrites | 17 | null | transformers | 8,987 | ---
language: en
thumbnail: https://www.huggingtweets.com/afinchwrites/1617758836679/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/125012682510... |
huggingtweets/alotoforanges | b09958ea4150c990a50747974e00e815872efb1a | 2021-05-21T18:26:16.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/alotoforanges | 17 | null | transformers | 8,988 | ---
language: en
thumbnail: https://www.huggingtweets.com/alotoforanges/1616898775163/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/13208441466... |
huggingtweets/broschistocks | 01a3209c6719777ae0d9e111b5b29a29a66bc493 | 2021-05-21T21:12:48.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/broschistocks | 17 | null | transformers | 8,989 | ---
language: en
thumbnail: https://www.huggingtweets.com/broschistocks/1614095969958/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/11595192407... |
huggingtweets/cushbomb | c83b0aa44a4026d03943775677bed9ba44f23a69 | 2021-05-21T23:53:52.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/cushbomb | 17 | null | transformers | 8,990 | ---
language: en
thumbnail: https://www.huggingtweets.com/cushbomb/1614099144410/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/1352838562622791... |
huggingtweets/cyberbully66 | f9531b85ac532d7443cc81e981eea8b715dc7db8 | 2021-05-21T23:59:40.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/cyberbully66 | 17 | null | transformers | 8,991 | ---
language: en
thumbnail: https://www.huggingtweets.com/cyberbully66/1616851006786/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/137546333273... |
huggingtweets/demirenjun | 7ec6ba4103cddcb166d6b0c77e3fcfc2b5d9201c | 2021-05-22T01:19:12.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/demirenjun | 17 | null | transformers | 8,992 | ---
language: en
thumbnail: https://www.huggingtweets.com/demirenjun/1617917661023/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/13549646115865... |
huggingtweets/elhotzo | 47618a248dd776dfde4eac1196f4c0f6798a0e4f | 2021-05-22T02:51:10.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/elhotzo | 17 | null | transformers | 8,993 | ---
language: en
thumbnail: https://www.huggingtweets.com/elhotzo/1613422967587/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/95434875179937382... |
huggingtweets/hoffridder | 5d2b84b9f6ee14621d4080bfed04d01bb41fe3e4 | 2021-05-22T07:00:39.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/hoffridder | 17 | null | transformers | 8,994 | ---
language: en
thumbnail: https://www.huggingtweets.com/hoffridder/1617780877643/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/13785661729463... |
huggingtweets/karpathy | c69b6b6058bdceac35082062d64d4681bb89c67c | 2021-05-22T10:32:36.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/karpathy | 17 | 1 | transformers | 8,995 | ---
language: en
thumbnail: https://www.huggingtweets.com/karpathy/1607705820861/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
<style>
@media (prefers-color-scheme: dark) {
.prose { color... |
huggingtweets/markprzepiora | f11d2881a1819bbf0dbe2fcdbae0ee74610d0b1f | 2021-05-22T13:27:50.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/markprzepiora | 17 | null | transformers | 8,996 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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/1287851... |
huggingtweets/premiles_ | 43a693557ec8b844fe221603fdc6429b599acb2e | 2021-05-22T19:24:17.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/premiles_ | 17 | null | transformers | 8,997 | ---
language: en
thumbnail: https://www.huggingtweets.com/premiles_/1616685758725/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/132882679133158... |
huggingtweets/slimepriestess | 041f0a38101219268a3b5b55a2d737bf55d5d90d | 2021-05-22T23:04:19.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/slimepriestess | 17 | null | transformers | 8,998 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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/1319135... |
huggingtweets/thcphilosopher | d3f38f7fcf785dc691db08748a242b7bb698b53e | 2021-05-23T01:18:12.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/thcphilosopher | 17 | null | transformers | 8,999 | ---
language: en
thumbnail: https://www.huggingtweets.com/thcphilosopher/1616728158308/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/1320456433... |
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