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Fix for pytorch version check issue

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Fix for Pytorch version check issue for adding 'weights_only' argument. Added a more accurate version parser.
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R I P Skillan 2025-09-23 22:10:41 +05:30 committed by GitHub
parent c0d2f624c0
commit f53acf2de6
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1 changed files with 2 additions and 1 deletions
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whisper/__init__.py
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@ -13,6 +13,7 @@ from .decoding import DecodingOptions, DecodingResult, decode, detect_language
from .model import ModelDimensions, Whisper
from .transcribe import transcribe
from .version import __version__
from pkg_resources import packaging
_MODELS = {
"tiny.en": "https://openaipublic.azureedge.net/main/whisper/models/d3dd57d32accea0b295c96e26691aa14d8822fac7d9d27d5dc00b4ca2826dd03/tiny.en.pt",
@ -147,7 +148,7 @@ def load_model(
with (
io.BytesIO(checkpoint_file) if in_memory else open(checkpoint_file, "rb")
) as fp:
kwargs = {"weights_only": True} if torch.__version__ >= "1.13" else {}
kwargs = {"weights_only": True} if packaging.version.parse(torch.__version__ ) >= packaging.version.parse("1.13") else {}
checkpoint = torch.load(fp, map_location=device, **kwargs)
del checkpoint_file