seed-vc/hf_utils.py

import os
from huggingface_hub import hf_hub_download


def load_custom_model_from_hf(repo_id, model_filename="pytorch_model.bin", config_filename=None):
    # Use environment variable for cache directory, fallback to ./checkpoints
    cache_dir = os.environ.get('HF_HUB_CACHE', './checkpoints')
    os.makedirs(cache_dir, exist_ok=True)
    model_path = hf_hub_download(repo_id=repo_id, filename=model_filename, cache_dir=cache_dir)
    if config_filename is None:
        return model_path
    config_path = hf_hub_download(repo_id=repo_id, filename=config_filename, cache_dir=cache_dir)

    return model_path, config_path