Sentiment Analysis Model

This model is a fine-tuned version of xlm-roberta for multilingual sentiment analysis (English + Arabic + Fransh + Darija).
It can classify input text into sentiment categories such as positive, negative, or neutral.

Example usage

from transformers import pipeline

model_name = "faiza-21/sentiment_analysis_model_00"

classifier = pipeline("text-classification", model=model_name)

print(classifier("I love this product!"))
print(classifier("الانترنت بطيء جدا"))
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Model size
0.6B params
Tensor type
F32
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