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- import os
- from modelscope.hub.snapshot_download import snapshot_download
- from pathlib import Path
- def check_model_dir(model_dir, model_name: str = "damo/speech_fsmn_vad_zh-cn-16k-common-pytorch"):
- model_dir = "/Users/zhifu/test_modelscope_pipeline/FSMN-VAD"
-
- cache_root = os.path.dirname(model_dir)
- dst_dir_root = os.path.join(cache_root, ".cache")
- dst = os.path.join(dst_dir_root, model_name)
- dst_dir = os.path.dirname(dst)
- os.makedirs(dst_dir, exist_ok=True)
- if not os.path.exists(dst):
- os.symlink(model_dir, dst)
-
- model_dir = snapshot_download(model_name, cache_dir=dst_dir_root)
- def get_default_cache_dir():
- """
- default base dir: '~/.cache/modelscope'
- """
- default_cache_dir = Path.home().joinpath('.cache', 'modelscope')
- return default_cache_dir
- def get_cache_dir(model_id):
- """cache dir precedence:
- function parameter > environment > ~/.cache/modelscope/hub
- Args:
- model_id (str, optional): The model id.
- Returns:
- str: the model_id dir if model_id not None, otherwise cache root dir.
- """
- default_cache_dir = get_default_cache_dir()
- base_path = os.getenv('MODELSCOPE_CACHE',
- os.path.join(default_cache_dir, 'hub'))
- return base_path if model_id is None else os.path.join(
- base_path, model_id + '/')
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