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Thanks Danyil! You are correct, the current default behavior is that huggingface will use the rust based tokenizers. We will potentially switch to the python tokenizer as the small batch performance should not be any different and can be switched using a flag as described here https://github.com/huggingface/transformers/blob/v4.21.1/src/transformers/models/auto/tokenization_auto.py#L472. Although, the other consideration is that others may want to use the fast tokenizers (or not be aware) so maybe the install is a better approach
When trying to install the marqo, sentence-transformers requires the rust compiler to be installed on the system.
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