

Minbpe
Overview :
The minbpe project aims to create clean, educational code implementations of the BPE algorithm commonly used in LLMs. It provides two Tokenizers that implement the main functionalities of BPE algorithm training, encoding, decoding, etc. The code is concise and easy to read, offering users a convenient and efficient experience. The project has gained considerable attention and attractiveness, and it is believed to play an important role in the development of LLM and NLP technologies.
Target Users :
["Applied in Transformer-based language models","Used as a tokenizer for models like BERT"]
Use Cases
BPE encoding of text using minbpe
Implementing a custom BPE tokenizer using minbpe
minbpe can be used to train language models
Features
Implementation of BPE algorithm training
Implementation of BPE encoding for text
Implementation of decoding of BPE-encoded text
Functionality to save and load
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