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  # akhooli/arabic-colbertv2-711k-norm
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  This is a ColBERT V2 model trained on [Arabic mMARCO dataset sample](https://huggingface.co/datasets/akhooli/ar-mmarco-sample) after removing queries with Latin words (711K queries).
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- It is not fully trained, but is good for many tasks especially ranking.
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  The dataset was normalized before training, so please normalize your query and docs before using it.
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  ```python
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  from unicodedata import normalize
 
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  # akhooli/arabic-colbertv2-711k-norm
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  This is a ColBERT V2 model trained on [Arabic mMARCO dataset sample](https://huggingface.co/datasets/akhooli/ar-mmarco-sample) after removing queries with Latin words (711K queries).
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+ It is not fully trained (22000 steps only), but is good for many tasks especially ranking and information retrieval (semantic search).
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  The dataset was normalized before training, so please normalize your query and docs before using it.
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  ```python
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  from unicodedata import normalize