lmompelat/creoleval-martinican-pos-tagger

Model Description

This model is an XLM-RoBERTa xlm-roberta-base checkpoint fine-tuned on the CreolEval lgrobol/xlm-r-CreoleEval_all model using Martinican Creole treebank for UPOS tagging. It takes tokenized text and predicts one of the 17 universal part-of-speech tags for each token.

Accuracy: 0.92

First Version: 4/22/2025 - Last Updated on 4/25/2025

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Intended Use

• Primary use: Automatic UPOS tagging of Martinican Creole text.
• Not for: Named-entity recognition, dependency parsing, or languages other than Martinican Creole without further fine-tuning.

from transformers import pipeline

tagger = pipeline(
    "token-classification",
    model="lmompelat/creoleval-martinican-pos-tagger",
    tokenizer="lmompelat/creoleval-martinican-pos-tagger"
)

example = "Mwen té ka alé an lékol."
predictions = tagger(example)
print(predictions)

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Citation

Author: Ludovic Mompelat

Email: [email protected]