XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Estonian
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-et")
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-et")
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Dataset used to train wietsedv/xlm-roberta-base-ft-udpos28-et
Space using wietsedv/xlm-roberta-base-ft-udpos28-et 1
Evaluation results
- English Test accuracy on Universal Dependencies v2.8self-reported82.300
- Dutch Test accuracy on Universal Dependencies v2.8self-reported80.900
- German Test accuracy on Universal Dependencies v2.8self-reported80.400
- Italian Test accuracy on Universal Dependencies v2.8self-reported78.000
- French Test accuracy on Universal Dependencies v2.8self-reported75.600
- Spanish Test accuracy on Universal Dependencies v2.8self-reported75.400
- Russian Test accuracy on Universal Dependencies v2.8self-reported88.200
- Swedish Test accuracy on Universal Dependencies v2.8self-reported89.100
- Norwegian Test accuracy on Universal Dependencies v2.8self-reported83.200
- Danish Test accuracy on Universal Dependencies v2.8self-reported87.000