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# CAMeLBERT-Mix DID Corpus6 Model
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## Model description
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**CAMeLBERT-Mix DID Corpus6 Model** is a dialect identification (DID) model that was built by fine-tuning the [CAMeLBERT-Mix](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-mix/) model.
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For the fine-tuning, we used the [MADAR Corpus 6](https://camel.abudhabi.nyu.edu/madar-shared-task-2019/) dataset, which includes 6 labels.
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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-Mix DID Corpus6 model as part of the transformers pipeline.
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This model will also be available in [CAMeL Tools](https://github.com/CAMeL-Lab/camel_tools) soon.
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#### How to use
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# CAMeLBERT-Mix DID MADAR Corpus6 Model
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## Model description
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**CAMeLBERT-Mix DID MADAR Corpus6 Model** is a dialect identification (DID) model that was built by fine-tuning the [CAMeLBERT-Mix](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-mix/) model.
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For the fine-tuning, we used the [MADAR Corpus 6](https://camel.abudhabi.nyu.edu/madar-shared-task-2019/) dataset, which includes 6 labels.
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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-Mix DID MADAR Corpus6 model as part of the transformers pipeline.
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This model will also be available in [CAMeL Tools](https://github.com/CAMeL-Lab/camel_tools) soon.
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#### How to use
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