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https://github.com/huggingface/pytorch-image-models.git
synced 2025-06-03 15:01:08 +08:00
👽 use hf_hub_download instead of cached_download
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@ -14,11 +14,11 @@ except ImportError:
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from timm import __version__
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try:
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from huggingface_hub import HfApi, HfFolder, Repository, cached_download, hf_hub_url
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cached_download = partial(cached_download, library_name="timm", library_version=__version__)
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from huggingface_hub import HfApi, HfFolder, Repository, hf_hub_download, hf_hub_url
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hf_hub_download = partial(hf_hub_download, library_name="timm", library_version=__version__)
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_has_hf_hub = True
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except ImportError:
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cached_download = None
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hf_hub_download = None
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_has_hf_hub = False
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_logger = logging.getLogger(__name__)
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@ -78,8 +78,7 @@ def load_cfg_from_json(json_file: Union[str, os.PathLike]):
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def _download_from_hf(model_id: str, filename: str):
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hf_model_id, hf_revision = hf_split(model_id)
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url = hf_hub_url(hf_model_id, filename, revision=hf_revision)
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return cached_download(url, cache_dir=get_cache_dir('hf'))
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return hf_hub_download(hf_model_id, filename, revision=hf_revision, cache_dir=get_cache_dir('hf'))
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def load_model_config_from_hf(model_id: str):
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