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xlm-roberta-base-ft-udpos28-te
wietsedv/xlm-roberta-base-ft-udpos28-te
xlm-roberta-base-ft-udpos28-te is a token classification model from wietsedv. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 25, 2022
- SHA
- d10e95d3
Datasets
Spaces
Model card
From the Hugging Face model README
XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Telugu
This model is part of our paper called:
- Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages
Check the Space for more details.
Usage
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-te")
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-te")
- Task
- Token Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- apache-2.0
- Languages
- te
- Created
- Mar 2, 2022
- Updated
- Feb 25, 2022