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| license: cc-by-nc-4.0 | |
| language: | |
| - en | |
| - ar | |
| - fr | |
| language_bcp47: | |
| - ar-dz # darija الجزائرية | |
| - ar-sa # darija السعودية | |
| tags: | |
| - sentiment-analysis | |
| - darija | |
| - multilingual | |
| pipeline_tag: text-classification | |
| base_model: xlm-roberta | |
| # 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 | |
| ```python | |
| 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")) | |