Use dill and Apache Arrow directly for caching & storing hidden states
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enhancement
- Dominant language
- Python
- Stars
- 225
- Forks
- 30
- PR merge metrics
- No merged PRs in 30d
Description
Right now we save hidden states as a HF dataset so that we can use its magical caching abilities. We're clearly wrangling HF into supporting something it wasn't designed for and this does cause us to need to load the model from disk a bunch of times during a sweep, whereas we could load it only once if we had more control. I expect we could get at least a 2x speedup from this for large models, and the code could be cleaner. It would also remove the confusing "Downloading and preparing" messages that currently pop up when we extract hiddens
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