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Especially when using larger machine learning models (i.e. from huggingface), mounting a drive to the local huggingface cache will be useful. An optional "mount" parameter in the model yaml file could be a good way to implement this
The text was updated successfully, but these errors were encountered:
Instead (or in addition to) of an mount option, we could also accept another input file to accept an extension to a Dockerfile (which uses the FROM diptanu/indexify-base-extractor base image)
yenicelik
changed the title
Extractor yaml files should have mount options
Extractor yaml files should have --cache / mount options to avoid model re-downloads (and similar)
Dec 17, 2023
Especially when using larger machine learning models (i.e. from huggingface), mounting a drive to the local huggingface cache will be useful. An optional "mount" parameter in the model yaml file could be a good way to implement this
The text was updated successfully, but these errors were encountered: