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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`.* |
