Comments (1)
Hey @iPieter ! I see that this specific Phi-3 model uses a custom tokenizer model (non-transformers
--> see here the model specified is their custom Phi3SmallTokenizer) so it may be that the authors intended this. tokenizer.get_vocab()
returns a byte vocab as well.
If it works for your use-case, you can try a Phi-3 model that uses a transformers
model such as microsoft/Phi-3-mini-4k-instruct
which uses LlamaTokenizer
. Please let me know if that would work for you! 🤗
from transformers.
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from transformers.