CAMeLBERT MSA NER Model Model description CAMeLBERT MSA NER Model is a Named Entity Recognition (NER) model that was built by fine tuning the CAMeLBERT Modern Standard Arabic (MSA) model. For the fine tuning, we used the ANERcorp dataset. 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 MSA NER model directly as part of our CAMeL Tools NER component ( recommended ) or as part of the transformers pipeline. How to use To use the model with the CAMeL Tools NER component: You can also use the NER model directly with a transformers pipeline: Note : to download our models, you would need transformers =3.5.0 . Otherwise, you could download the models manually. Citation
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