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+ **Model Card: (TEST) code-search-net-tokenizer**
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+ **Model Description:**
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+ The `code-search-net-tokenizer` is a tokenizer created for the CodeSearchNet dataset, which contains a large collection of code snippets from various programming languages. This tokenizer is specifically designed to handle code-related text data and efficiently tokenize it for further processing with language models.
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+ **Usage:**
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+ You can use the `code-search-net-tokenizer` to preprocess code snippets and convert them into numerical representations suitable for feeding into language models like GPT-2, BERT, or RoBERTa.
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+ **Limitations:**
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+ The `code-search-net-tokenizer` is specifically tailored to code-related text data and may not be suitable for general text tasks. It may not perform optimally for natural language text outside the programming context.
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+ *For more information and usage examples, refer to the Hugging Face Model Hub: `https://huggingface.co/code-search-net-tokenizer`.*