4913b76b7355d142953f786a6a95569ed140419d05d264f170d8b207f91a794a  README.md
9f6924bdf8d6b15e0da505c8f0087a0d8507f5a63355f785cb1ee632f566e9fd  transcribe.py
7fd0323ee3dd64ae5487d63b38932545eb0d882684cd50009c0ac680f2aef264  requirements.txt
c3f06a8b855c39d25f2484e4c820c67831ffdf6c7e258949224e64129722aa3d  model.pt
dece9c8486c7b0fe229f083a689c2e4b7670f900561eb925d96a88b98b4d633c  bpe.model
b3b662dbe1dc7ffced7971b5c7fd8ca6d1f3049df1fbe6ed8833610b4f7cdfe0  tokens.txt
d4bd9d20b313b4e42389f0e7d2095d624312792ee9285977fe9098d6113c1ec4  feature_config.json
a90f44024dc4dab440ae9f86a54d52a1d01434c471b9081bd612b29d144192ed  evaluation.json
7b6308491f923dc54b83025734e65e60e72c7e0ccc3c637b1b444d18ebda7ae6  TECHNICAL_DETAILS.md