Unlocking the Best Tokenization Strategies: How Greedy Inference and SaGe Lead the Way in NLP Models

The inference method is crucial for NLP models in subword tokenization. Methods like BPE, WordPiece, and UnigramLM offer distinct mappings, but their performance differences must be better understood. Implementations like Huggingface Tokenizers often need to be clearer or limit inference choices, complicating compatibility with vocabulary learning algorithms. Whether a matching inference method is necessary or […]

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