
# deberta-base-coptic-upos

## Model Description

This is a DeBERTa(V2) model pre-trained with [UD_Coptic](https://universaldependencies.org/cop/) for POS-tagging and dependency-parsing, derived from [deberta-base-coptic](https://huggingface.co/KoichiYasuoka/deberta-base-coptic). 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/deberta-base-coptic-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/deberta-base-coptic-upos")
```

or

```
import esupar
nlp=esupar.load("KoichiYasuoka/deberta-base-coptic-upos")
```

## See Also

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


{"language": ["cop"], "license": "cc-by-sa-4.0", "tags": ["coptic", "token-classification", "pos", "dependency-parsing"], "datasets": ["universal_dependencies"], "pipeline_tag": "token-classification", "widget": [{"text": "\u2ca7\u2c89\u2c9b\u2c9f\u2ca9\u2c87\u2c89\u2c9b\u0304\u2c9f\u2ca9\u2c9f\u2c89\u2c93\u2c9b\u03e9\ufe24\u2c99\ufe25\u2ca1\u03eb\u2c9f\u2c89\u2c93\u2ca5\u00b7"}, {"text": "\u2c99\u2c9f\u2c9f\u03e3\u2c89\u03e9\u2cb1\u2ca5\u03e3\u2c8f\u2ca3\u2c89\u2c99\u0304\u2ca1\u2c9f\u2ca9\u2c9f\u2c89\u2c93\u2c9b\u00b7"}]}
transformers pytorch deberta-v2 token-classification coptic pos dependency-parsing cop dataset:universal_dependencies license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #deberta-v2 #token-classification #coptic #pos #dependency-parsing #cop #dataset-universal_dependencies #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 


# deberta-base-coptic-upos

## Model Description

This is a DeBERTa(V2) model pre-trained with UD_Coptic for POS-tagging and dependency-parsing, derived from deberta-base-coptic. 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


# deberta-base-coptic-upos ## Model Description

This is a DeBERTa(V2) model pre-trained with UD_Coptic for POS-tagging and dependency-parsing, derived from deberta-base-coptic. 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 #deberta-v2 #token-classification #coptic #pos #dependency-parsing #cop #dataset-universal_dependencies #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 # deberta-base-coptic-upos ## Model Description

This is a DeBERTa(V2) model pre-trained with UD_Coptic for POS-tagging and dependency-parsing, derived from deberta-base-coptic. 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 #deberta-v2 #token-classification #coptic #pos #dependency-parsing #cop #dataset-universal_dependencies #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
# deberta-base-coptic-upos## Model Description

This is a DeBERTa(V2) model pre-trained with UD_Coptic for POS-tagging and dependency-parsing, derived from deberta-base-coptic. 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