Roberta Base Coptic Upos

🚀 roberta-base-coptic-upos

This is a RoBERTa model for POS-tagging and dependency-parsing in Coptic, offering accurate token classification.

🚀 Quick Start

This RoBERTa model is pre - trained using UD_Coptic for POS - tagging and dependency - parsing. It is derived from roberta-base-coptic. Each word is tagged with UPOS (Universal Part - Of - Speech).

✨ Features

• Language: Coptic
• Tags: coptic, token - classification, pos, dependency - parsing
• Base Model: KoichiYasuoka/roberta-base-coptic
• Datasets: universal_dependencies
• License: cc - by - sa - 4.0
• Pipeline Tag: token - classification

📦 Installation

There is no specific installation command mentioned other than code imports. The following are the code snippets to use the model:

💻 Usage Examples

Basic Usage

from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-coptic-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/roberta-base-coptic-upos")

Advanced Usage

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

📚 Documentation

esupar is a Tokenizer, POS - tagger, and Dependency - parser that uses BERT/RoBERTa/DeBERTa models.

📄 License

This model is released under the "cc - by - sa - 4.0" license.