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We have an update planned to address more advanced tokenization/data processing, but currently there's not an easy way. It's easy to load the embedding weights into the model, but it's a bit difficult to change the preprocessing to handle tokenization that's not ascii-256 character level.
Is it possible to start model training (main.py) from existing word embeddings like Fasttext?
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