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  ## Model description
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  **CAMeLBERT-CA NER Model** is a Named Entity Recognition (NER) model that was built by fine-tuning the [CAMeLBERT Classical Arabic (CA)](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca/) model.
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  For the fine-tuning, we used the [ANERcorp](https://camel.abudhabi.nyu.edu/anercorp/) dataset.
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- 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](https://arxiv.org/abs/2103.06678)."* Our fine-tuning code can be found [here](https://github.com/CAMeL-Lab/CAMeLBERT).
 
 
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  ## Intended uses
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  You can use the CAMeLBERT-CA NER model directly as part of our [CAMeL Tools](https://github.com/CAMeL-Lab/camel_tools) NER component (*recommended*) or as part of the transformers pipeline.
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  #### How to use
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  'start': 50,
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  'end': 57}]
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  ```
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- *Note*: to download our models, you would need `transformers>=3.5.0`. Otherwise, you could download the models
 
 
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  ## Citation
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  ```bibtex
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  @inproceedings{inoue-etal-2021-interplay,
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  ## Model description
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  **CAMeLBERT-CA NER Model** is a Named Entity Recognition (NER) model that was built by fine-tuning the [CAMeLBERT Classical Arabic (CA)](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca/) model.
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  For the fine-tuning, we used the [ANERcorp](https://camel.abudhabi.nyu.edu/anercorp/) dataset.
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+ 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](https://arxiv.org/abs/2103.06678)."
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+ * Our fine-tuning code can be found [here](https://github.com/CAMeL-Lab/CAMeLBERT).
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+
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  ## Intended uses
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  You can use the CAMeLBERT-CA NER model directly as part of our [CAMeL Tools](https://github.com/CAMeL-Lab/camel_tools) NER component (*recommended*) or as part of the transformers pipeline.
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  #### How to use
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  'start': 50,
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  'end': 57}]
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  ```
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+ *Note*: to download our models, you would need `transformers>=3.5.0`.
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+ Otherwise, you could download the models manually.
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+
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  ## Citation
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  ```bibtex
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  @inproceedings{inoue-etal-2021-interplay,