data/model_data_json/CAMeL-Lab_bert-base-arabic-camelbert-mix-sentiment.json

{
    "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."
}