33 fix bugs for inference on baskerville #34
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…arameter 'function'=<MagicMock name='make_ocr_data' id='13775808272'> of the transform datasets.arrow_dataset.Dataset._map_single couldn't be hashed properly, a random hash was used instead. Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and caching to work. If you reuse this transform, the caching mechanism will consider it to be different from the previous calls and recompute everything. This warning is only showed once. Subsequent hashing failures won't be showed.
…cepts in the main inference loop, which should not be a long-term solution
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Currently running inference on single component, will mark ready to review when full pipeline inference has completed