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  bert-chunker-3.5 is a text chunker based on BertForTokenClassification to predict the start token of chunks (for use in RAG, etc), and using a sliding window it cuts documents of any size into chunks. We see it as an alternative of [Kamradt semantic chunker](https://github.com/FullStackRetrieval-com/RetrievalTutorials/blob/main/tutorials/LevelsOfTextSplitting/5_Levels_Of_Text_Splitting.ipynb), but specially, it not only works for the structured texts, but also the **unstructured and messy texts**.
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- As a new version of [bc3](https://huggingface.co/tim1900/bert-chunker-3.5), it has a simpler chunk strategy, less bugs, trained on larger model length, more **competitive** [**performance**](#evaluation).
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  ## Usage
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  Run the following:
 
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  bert-chunker-3.5 is a text chunker based on BertForTokenClassification to predict the start token of chunks (for use in RAG, etc), and using a sliding window it cuts documents of any size into chunks. We see it as an alternative of [Kamradt semantic chunker](https://github.com/FullStackRetrieval-com/RetrievalTutorials/blob/main/tutorials/LevelsOfTextSplitting/5_Levels_Of_Text_Splitting.ipynb), but specially, it not only works for the structured texts, but also the **unstructured and messy texts**.
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+ As a new version of [bc3](https://huggingface.co/tim1900/bert-chunker-3), it has a simpler chunk strategy, less bugs, trained on larger model length, more **competitive** [**performance**](#evaluation).
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  ## Usage
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  Run the following: