Update README.md

README.md

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 **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.
+The Code Search Net Tokenizer is a custom tokenizer specifically trained for tokenizing Python code snippets. It has been trained on a large corpus of Python code snippets from the CodeSearchNet dataset using the GPT-2 model as a starting point. The goal of this tokenizer is to effectively tokenize Python code for use in various natural language processing and code-related tasks.
+
+**Model Details:**
+
+Name: Code Search Net Tokenizer
+Model Type: Custom Tokenizer
+Language: Python
+
+**Training Data:**
+
+The tokenizer was trained on a corpus of Python code snippets from the CodeSearchNet dataset. The dataset consists of various Python code examples collected from open-source repositories on GitHub. The tokenizer has been fine-tuned on this dataset to create a specialized vocabulary that captures the unique syntax and structure of Python code.
+
+**Tokenizer Features:**
+
+*The Code Search Net Tokenizer offers the following features:
+
+*Tokenization of Python code: The tokenizer can effectively split Python code snippets into individual tokens, making it suitable for downstream tasks that involve code processing and understanding.
 
 **Usage:**
 
@@ -13,4 +29,6 @@ You can use the `code-search-net-tokenizer` to preprocess code snippets and conv
 
 **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.
+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.
+
+*This model card is provided for informational purposes only and does not guarantee specific performance or outcomes when using the "code-search-net-tokenizer" with other language models. Users are encouraged to refer to the Hugging Face documentation and model repository for detailed information and updates.*