sindhi_nlp/__init__.py,sha256=irktv8-DQ0GFBd0P-lGulAmKxdem-H5coX2Udw1SHJM,1197
sindhi_nlp/api/__init__.py,sha256=bR9NACWp9Iwth1kH1HDFvZ1Oc7MpseHWI0vgqi3fQUw,58
sindhi_nlp/api/dependencies.py,sha256=_qu8x-ql5D2KuLXYSPCcVNpEfzfkB1T_n4WOjS3L_Rs,4397
sindhi_nlp/api/main.py,sha256=JLoYfZcBWpp8bOiMktFBlSUPWRptdIi5Qm6i50g3JpI,4700
sindhi_nlp/api/models.py,sha256=F8h1KAowcqN8Wjqbk_LgAIsiuz5_lFXXrUbpfMF2ey0,1856
sindhi_nlp/api/routes.py,sha256=ivDGUUA9P6yqZyHexmsDD01IMFLb-r_AVFsBlEbWHMo,3170
sindhi_nlp/cli/__init__.py,sha256=v0wn97Y3Jqck_4iOJy9MDqkE5kybSwfmyTXGJyGUivQ,30
sindhi_nlp/cli/main.py,sha256=CbnB7_P1MRvdJsUnKMrsfQXR5e-5X1tbk-COD7wIvdI,8374
sindhi_nlp/cli/publish_model.py,sha256=GamcVb0CHGfQHhGalc1n0HHvcoYghxQBIAYsWvvx11o,9503
sindhi_nlp/data/__init__.py,sha256=J6tpCed6vVkfszzq3oFOdHZbaXPwBHPt98Bx7Wq2pN0,662
sindhi_nlp/data/clean_data.py,sha256=GnWh73IV5z_Sv977w-ioERjEhwxGI5jOTwyWx4jHQyk,4069
sindhi_nlp/data/load_data.py,sha256=h5gB-p4X1hp0p7NoygxGVcqmagJfEP-m2gOmyWTAQbs,3796
sindhi_nlp/data/prepare_external.py,sha256=OqbgsU2-5Oo_BEthOWObL8ZbYIahp9t19HyZS8njRFk,8333
sindhi_nlp/data/split_data.py,sha256=uPHAnaUryxnhjlo8kGu8OUbW16_ASAxRKB9GiM-OoRY,14403
sindhi_nlp/data/validate_data.py,sha256=bumIxn28T0SytZTcxZff-2OjpOGFsqlfSlauTGUq05I,5513
sindhi_nlp/evaluation/__init__.py,sha256=LtIgP2PevBXMmV07o0yLrZRbJ_vzLTwAh3pdIlsmfNI,43
sindhi_nlp/evaluation/compare_models.py,sha256=wmO0natAyK7TigvSIWdEpE4XWWNQ2tT7gO8e2ry4zn0,6068
sindhi_nlp/evaluation/error_analysis.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
sindhi_nlp/evaluation/evaluate.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
sindhi_nlp/evaluation/evaluate_external.py,sha256=8MoEynqOVraJBAzd6cfBur_Kxo2dsE0NvJ4QFahX-f8,7318
sindhi_nlp/evaluation/plots.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
sindhi_nlp/inference/__init__.py,sha256=mTsLEjWhJBAukWM1Bi-Irv6AGO_w7FAj4lemqN99Y5I,64
sindhi_nlp/inference/hub.py,sha256=PbboRYUYpM7yfhct1kI_jgHPseBU_qYP1BZHnlt2R6Q,2124
sindhi_nlp/inference/predictor.py,sha256=Q4W-0O8pgCIyJETqj0QeiYRiTZota_MGoK-AR6bo6AI,12749
sindhi_nlp/inference/preprocessing.py,sha256=SwwbwZMXG7ZR82IPxAu7Tg93ryZZwRmrDA2NeB1OlBI,2773
sindhi_nlp/inference/schemas.py,sha256=61IhV6PIgmuErxS78eGTlNrbisTdHI9dqwQQwCYJwTk,1629
sindhi_nlp/training/__init__.py,sha256=KGrUL8ohAYl2YKa6s89vu9HuAeLO8toXfhr0vPzCt8Q,36
sindhi_nlp/training/baseline.py,sha256=DMn4WEXEcEHUh0Cf80Kuh2d1Jlyg4lVXllgzKkkfX3o,11050
sindhi_nlp/training/callbacks.py,sha256=rAJgdQfAuUNoeNIOZhZmr-vSzHAKyK8KELJHuIrICg4,2316
sindhi_nlp/training/metrics.py,sha256=InAAAH7SRzLB3HYjbgSksWhHNvMiF4lYa85CD5Izu1M,2928
sindhi_nlp/training/train.py,sha256=ikZgd_omBgkz2cwxkhvRJoHMljcHeRRkymwLku23soU,1512
sindhi_nlp/training/trainer.py,sha256=8vJ2omzO3SaVKpU9wH1JArMpNQqqH5eWBm-z8Rrg_os,20359
sindhi_nlp/utils/__init__.py,sha256=IZC76GN2eV1ey6WW6Qdhz3I1x1uxM8kXtGgAqSxXk6o,59
sindhi_nlp/utils/config.py,sha256=QsEfn5p4qEcRdLbP33hSywe4FHyU2QVVwt57rzZhHHA,4251
sindhi_nlp/utils/logging.py,sha256=qY4ZaSA8EM1dcRmj4itfKc6gCNZsEnR1Yp9ZqdAaIAo,690
sindhi_nlp/utils/seed.py,sha256=CPqd5MMvaucnHG2pl5Me511S2ZZ5o7RSN6NsP36tyuo,831
sindhi_nlp-0.1.1.dist-info/licenses/LICENSE,sha256=2pWkf3RH7qsf-HJfeWpVm0wVQgj51SblxFvKpsHxypY,1066
sindhi_nlp-0.1.1.dist-info/METADATA,sha256=0XYctAZBClfrgQO0d-yFKt4nMVK_0qWhaAYfNWqJgvY,10917
sindhi_nlp-0.1.1.dist-info/WHEEL,sha256=a-udL2m4V_6Yn8b-uKzWb12RjRxwwMo6ohYFM24tpaY,91
sindhi_nlp-0.1.1.dist-info/entry_points.txt,sha256=vIGlZEw0DVzOFD0aaJwmYTuQJbBB-9OqgdsVE5ZFymI,56
sindhi_nlp-0.1.1.dist-info/top_level.txt,sha256=fsIaMXHIItxq76Vxssm7HPJLUAEnbN5N84b_xZQg6Cw,11
sindhi_nlp-0.1.1.dist-info/RECORD,,
