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{
"model_id": "CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment",
"downloads": 119547,
"tags": [
"transformers",
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
],
"description": "--- language: - ar license: apache-2.0 widget: - text: \"أنا بخير\" --- # CAMeLBERT Mix SA Model ## Model description **CAMeLBERT Mix SA Model** is a Sentiment Analysis (SA) model that was built by fine-tuning the CAMeLBERT Mix model. For the fine-tuning, we used the ASTD, ArSAS, and SemEval datasets. Our fine-tuning procedure and the hyperparameters we used can be found in our paper *\"The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models.\"* Our fine-tuning code can be found here. ## Intended uses You can use the CAMeLBERT Mix SA model directly as part of our CAMeL Tools SA component (*recommended*) or as part of the transformers pipeline. #### How to use To use the model with the CAMeL Tools SA component: You can also use the SA model directly with a transformers pipeline: *Note*: to download our models, you would need . Otherwise, you could download the models manually. ## Citation",
"model_explanation_gemini": "Fine-tuned for Arabic sentiment analysis using the CAMeLBERT Mix model on ASTD, ArSAS, and SemEval datasets."
} |