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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.