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MEDS/FEMR/CLMBR-T-Base Stack #224

Closed Answered by EthanSteinberg
kgweber-sag asked this question in Q&A
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Last I checked, the versions specified on the huggingface README (pip install torch==2.1.1 femr==0.2.3 datasets==2.15.0 xformers transformers==4.35.2) are still correct.

Note that FEMR 0.2.3 requires MEDS v1 (https://github.com/som-shahlab/femr/blob/0.2.3/pyproject.toml#L18).

Note that I would generally recommend training from scratch if at all possible (https://github.com/som-shahlab/femr/blob/0.2.3/tutorials/6_Train%20MOTOR.ipynb). That's the best way to avoid vocabulary issues (where CLMBR-T-Base's vocab doesn't match the vocab of your dataset).

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