
# roberta-large-english-upos

## Model Description

This is a RoBERTa model pre-trained with [UD_English](https://universaldependencies.org/en/) for POS-tagging and dependency-parsing, derived from [roberta-large](https://huggingface.co/roberta-large). Every word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech).

## How to Use

```py
from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-large-english-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/roberta-large-english-upos")
```

or

```py
import esupar
nlp=esupar.load("KoichiYasuoka/roberta-large-english-upos")
```

## See Also

[esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models


{"language": ["en"], "license": "cc-by-sa-4.0", "tags": ["english", "token-classification", "pos", "dependency-parsing"], "datasets": ["universal_dependencies"], "pipeline_tag": "token-classification"}
transformers pytorch roberta token-classification english pos dependency-parsing en dataset:universal_dependencies license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #token-classification #english #pos #dependency-parsing #en #dataset-universal_dependencies #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 


# roberta-large-english-upos

## Model Description

This is a RoBERTa model pre-trained with UD_English for POS-tagging and dependency-parsing, derived from roberta-large. Every word is tagged by UPOS (Universal Part-Of-Speech).

## How to Use



or



## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models


# roberta-large-english-upos ## Model Description

This is a RoBERTa model pre-trained with UD_English for POS-tagging and dependency-parsing, derived from roberta-large. Every word is tagged by UPOS (Universal Part-Of-Speech). ## How to Use



or ## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
TAGS
#transformers #pytorch #roberta #token-classification #english #pos #dependency-parsing #en #dataset-universal_dependencies #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 # roberta-large-english-upos ## Model Description

This is a RoBERTa model pre-trained with UD_English for POS-tagging and dependency-parsing, derived from roberta-large. Every word is tagged by UPOS (Universal Part-Of-Speech). ## How to Use



or ## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
passage: TAGS
#transformers #pytorch #roberta #token-classification #english #pos #dependency-parsing #en #dataset-universal_dependencies #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
# roberta-large-english-upos## Model Description

This is a RoBERTa model pre-trained with UD_English for POS-tagging and dependency-parsing, derived from roberta-large. Every word is tagged by UPOS (Universal Part-Of-Speech).## How to Use



or## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models