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For samples that exceed the 512 subword token limit, we currently do not have a strategy in place to deal with this.
This is both unwanted and relatively easy to improve. There are a few considerations with respect to the exact strategy to be used, but it seems like a good starting point to approximate sentences with something like a lightweight spacy model, and then chunk based on approximate max length.
The text was updated successfully, but these errors were encountered:
For samples that exceed the 512 subword token limit, we currently do not have a strategy in place to deal with this.
This is both unwanted and relatively easy to improve. There are a few considerations with respect to the exact strategy to be used, but it seems like a good starting point to approximate sentences with something like a lightweight spacy model, and then chunk based on approximate max length.
The text was updated successfully, but these errors were encountered: