readme: ---
  language:
  - "cop"
  tags:
  - "coptic"
  - "token-classification"
  - "pos"
  - "dependency-parsing"
  datasets:
  - "universal_dependencies"
  license: "cc-by-sa-4.0"
  pipeline_tag: "token-classification"
  widget:
  - text: "ⲧⲉⲛⲟⲩⲇⲉⲛ̄ⲟⲩⲟⲉⲓⲛϩ︤ⲙ︥ⲡϫⲟⲉⲓⲥ·"
  - text: "ⲙⲟⲟϣⲉϩⲱⲥϣⲏⲣⲉⲙ̄ⲡⲟⲩⲟⲉⲓⲛ·"
  ---
  
  # roberta-small-coptic-upos
  
  ## Model Description
  
  This is a RoBERTa model pre-trained with [UD_Coptic](https://universaldependencies.org/cop/) for POS-tagging and dependency-parsing, derived from [roberta-small-coptic](https://huggingface.co/KoichiYasuoka/roberta-small-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/roberta-small-coptic-upos")
  model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/roberta-small-coptic-upos")
  ```
  
  or
  
  ```
  import esupar
  nlp=esupar.load("KoichiYasuoka/roberta-small-coptic-upos")
  ```
  
  ## See Also
  
  [esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
  
  