Hugging Face's logo

wietsedv
/
xlm-roberta-base-ft-udpos28-la

Token Classification
Transformers
PyTorch
Latin
xlm-roberta
part-of-speech
Eval Results (legacy)
Model card Files
xet
 Community
1

XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Latin

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-la")
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-la")
Downloads last month
2
Inference Providers NEW
Token Classification
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Space using wietsedv/xlm-roberta-base-ft-udpos28-la 1

Evaluation results

  • English Test accuracy on Universal Dependencies v2.8
    self-reported
    81.500
  • Dutch Test accuracy on Universal Dependencies v2.8
    self-reported
    79.600
  • German Test accuracy on Universal Dependencies v2.8
    self-reported
    78.200
  • Italian Test accuracy on Universal Dependencies v2.8
    self-reported
    78.000
  • French Test accuracy on Universal Dependencies v2.8
    self-reported
    78.100
  • Spanish Test accuracy on Universal Dependencies v2.8
    self-reported
    79.800
  • Russian Test accuracy on Universal Dependencies v2.8
    self-reported
    89.800
  • Swedish Test accuracy on Universal Dependencies v2.8
    self-reported
    86.000