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salohnana2018/ABSA-SentencePair-corrected-domainAdapt-Stack-Semeval-Adapter-pfeiffer-run2 for CAMeL-Lab/bert-base-arabic-camelbert-msaCAMeL-Lab/bert-base-arabic-camelbert-msa model that was trained on the [Arabic ABSA/SemEvalHotelReview](https://adapterhub.ml/explore/Arabic ABSA/SemEvalHotelReview/) dataset and includes a prediction head for classification.adapter-transformers:pip install -U adapter-transformers1from transformers import AutoAdapterModel
2
3model = AutoAdapterModel.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-msa")
4adapter_name = model.load_adapter("salohnana2018/ABSA-SentencePair-corrected-domainAdapt-Stack-Semeval-Adapter-pfeiffer-run2", source="hf", set_active=True)