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Model Card: (TEST) code-search-net-tokenizer
Model Description:
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.
Usage:
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.
Limitations:
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.
For more information and usage examples, refer to the Hugging Face Model Hub: https://huggingface.co/code-search-net-tokenizer.