Hugging Face's logo

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

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

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

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-eu")
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-eu")
Downloads last month
4
Safetensors
Model size
0.3B params
Tensor type
I64
·
F32
·
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-eu 1

Evaluation results

  • English Test accuracy on Universal Dependencies v2.8
    self-reported
    65.800
  • Dutch Test accuracy on Universal Dependencies v2.8
    self-reported
    63.500
  • German Test accuracy on Universal Dependencies v2.8
    self-reported
    66.300
  • Italian Test accuracy on Universal Dependencies v2.8
    self-reported
    65.500
  • French Test accuracy on Universal Dependencies v2.8
    self-reported
    61.200
  • Spanish Test accuracy on Universal Dependencies v2.8
    self-reported
    62.000
  • Russian Test accuracy on Universal Dependencies v2.8
    self-reported
    74.900
  • Swedish Test accuracy on Universal Dependencies v2.8
    self-reported
    66.600