Sentencepiece tokenizer Introduction In the rapidly evolving field of natural language processing (NLP), the efficiency and accuracy of language models hinge significantly on how text data is prepared and processed before training. At the heart of this preparation is the process of tokenization, a crucial step where raw text is transformed into a structured format that the models can interpret from. Among the variety of tokenization methods, the sentencepiece tokenizer stands out as a versatile tool that efficiently handles diverse languages without relying on predefined word boundaries.