| | |
| | | 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"): |
| | |
| | | if not os.path.exists(dst): |
| | | os.symlink(model_dir, dst) |
| | | |
| | | model_dir = snapshot_download(model_name, cache_dir=dst_dir_root) |
| | | 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 + '/') |