| ## Info |
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| The Tokenizer model is available on [GitHub](https://github.com/CufoTv/VALa1Tokenizer/tree/main) due to some issues encountered during the upload process to Hugging Face Files. |
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| # VALa1Tokenizer |
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| [](https://huggingface.co/models/dosaai/vala1tokenizer) |
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| ## Overview |
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| VALa1Tokenizer is a custom tokenizer implementation written in Python. It provides tokenization and encoding functionalities for text processing tasks. |
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| ## License |
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| This project is licensed under the Apache License, Version 2.0. See the [LICENSE](LICENSE) file for details. |
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| ## Installation |
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| You can install VALa1Tokenizer via pip: |
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| Here's an improved version of the instructions: |
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| ```bash |
| import os |
| |
| def run_VALa1Tokenizer(): |
| # Clone the repository |
| os.system("git clone https://github.com/CufoTv/VALa1Tokenizer.git") |
| |
| # Navigate to the directory containing the tokenizer |
| os.chdir("VALa1Tokenizer") |
| |
| # Replace the following command with the desired command to run the tokenizer |
| # For example, if you want to list the contents of the directory: |
| os.system("ls") |
| |
| # Example usage |
| run_VALa1Tokenizer() |
| ``` |
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| After running this code, execute the following commands in your terminal or command prompt: |
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| ```bash |
| cd VALa1Tokenizer |
| ``` |
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| If you encounter an error like `[Errno 2] No such file or directory: 'VALa1Tokenizer' /content`, it means the Tokenizer is available and you can start using it. Before using it, make sure to install any required dependencies by running: |
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| ```bash |
| pip install -r requirements.txt |
| ``` |