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base_model
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---
language:
- "oc"
tags:
- "occitan"
- "token-classification"
- "pos"
- "dependency-parsing"
base_model: KoichiYasuoka/deberta-small-occitan
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
widget:
- text: "La mar poiriá encara èsser a la vista."
---
# deberta-small-occitan-upos
## Model Description
This is a DeBERTa(V2) model pre-trained with [Tolosa Treebank](https://zenodo.org/records/10569962) for POS-tagging and dependency-parsing, derived from [deberta-small-occitan](https://huggingface.co/KoichiYasuoka/deberta-small-occitan). 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-small-occitan-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/deberta-small-occitan-upos")
```
or
```
import esupar
nlp=esupar.load("KoichiYasuoka/deberta-small-occitan-upos")
```
## See Also
[esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models