elpis/__init__.py,sha256=kUR5RAFc7HCeiqdlX36dZOHkUI5wI6V_43RpEcD8b-0,22
elpis/datasets/__init__.py,sha256=GsFmEGL2zaAU2DwJ6hyuNxUSj-TQ_L0DDtYYmTsOFFI,344
elpis/datasets/clean_text.py,sha256=NFRgkqs2YUyhRcE_XEnu6py7taRSfqUfDERjCmC9TMc,1929
elpis/datasets/dataset.py,sha256=N5lwsjVNlLfrTDP9QJ3yi7bzKArT_qecoNK72c1pFAg,6811
elpis/datasets/extract_annotations.py,sha256=JzcaNGwzwLpUEadtyP9ghsaJ2Z_DFr2GR6agH6G8Oy4,6035
elpis/datasets/preprocessing.py,sha256=ogoQctwgTx_c5ub4M6D8YuJ6DmERKX7DHLRrblToZCo,5064
elpis/datasets/processing.py,sha256=M_UuUv93re0s5E8srlCkTJ6N4zl4gW4Rsk2GJ0UBfR4,4621
elpis/models/__init__.py,sha256=jxp8gl0-vxxboXq0CWs-VzCCdabXH3f0zFrhZ8e211k,248
elpis/models/annotation.py,sha256=UtJHoiW3SN_Olk5LUaI5QU5OkVhUV1GUvUmC5T-xgZA,1355
elpis/models/elan_options.py,sha256=ycRZBspyZ57BJ90kDovQ1REXxeFVgSBel9cN39GO96A,866
elpis/models/job.py,sha256=i6MnrDSzzJPxwmdsbdYZHbEt9oNgdtaaVZ3lQ2NGmJI,10654
elpis/models/vocab.py,sha256=e03bhmi3fFh9N9_RV5G-wqd83QXKtTGoFEMHUBtWnbc,1973
elpis/trainer/__init__.py,sha256=q3xXaf217JH0DqagIzEbOJDOMOvIyI8W-xDBOaojAc4,65
elpis/trainer/data_collator.py,sha256=GraXw8-AQWjgUthKI40SDflnHJk-w7TmHwI6X9I3K1g,5119
elpis/trainer/guide.py,sha256=VqAD_Rvri3LTTioiTpYIaM7HR0Jr1psxn8bDcPYMJ8Q,22011
elpis/trainer/metrics.py,sha256=0tq9uPjcsi4ChS2PT-J5UG5rVPc72dDVwR-zd8Z4_9M,1645
elpis/trainer/trainer.py,sha256=FeuGefkwl9Q7TG_uVDyBi7Yn_WmwsUnIg509if48jwg,12366
elpis/trainer/utils.py,sha256=ILQnPr1CEoWn7-OuGHRfQLSyzE_2WhQJPVwV2LYHsiU,1337
elpis/transcriber/__init__.py,sha256=36Bin8qHDyJ-lA-_342khnjVcWB1CjP_EeX_dlOsUzs,201
elpis/transcriber/results.py,sha256=TruKP3TnBo4HHWver3iKQMi2uWMjNsFjK38wvT9TbaM,1287
elpis/transcriber/transcribe.py,sha256=Zmsl-_-011RETF0uiH2S0ak0BEuEm1fY0WdbWa82pcw,2561
elpis/utils/audio.py,sha256=PD1UjdVQuzfPizub3YmzxpGM7lxu_ldfEuy8rsZsqig,2184
elpis-0.2.0.dist-info/WHEEL,sha256=vxFmldFsRN_Hx10GDvsdv1wroKq8r5Lzvjp6GZ4OO8c,88
elpis-0.2.0.dist-info/METADATA,sha256=h-JqKGuaS_P21q8IPodRtO1BMJ5QMcmJ2cE9AOwkZXc,5074
elpis-0.2.0.dist-info/RECORD,,
