Carlito-25/sentiment-model-finetuned

Modèle XLM-RoBERTa fine-tuné pour l'analyse de sentiment multilingue

Usage

from transformers import pipeline

classifier = pipeline(
    "sentiment-analysis", 
    model="Carlito-25/sentiment-model-finetuned", 
    device=-1, 
    truncation=True, 
    max_length=514
)

result = classifier("Ce commentaire est fantastique!")
print(result)

Model Details

• Base Model: cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual
• Fine-tuned on: Custom French YouTube comments dataset
• Task: Sentiment Analysis (3 classes: POSITIVE, NEGATIVE, NEUTRAL)