To tokenize text for generative models using the Tokenizers.jl library in Julia, you can load or create a tokenizer, preprocess the text, and encode it into tokens. Here is the code snippet you can refer to:
In the above code, we are using the following:
- Tokenizer: Tokenizers.jl supports loading pre-trained tokenizers like BERT or GPT.
- Encoding: Transforms text into a sequence of tokens (subword units).
- Token IDs: Converts tokens into numerical IDs for input into generative models.
- Decoding: Converts token IDs back into human-readable text, useful for debugging.
Hence, this enables efficient text preprocessing for generative tasks while maintaining compatibility with modern NLP models.