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import argparse
import yaml
import os
import requests
from huggingface_hub import snapshot_download
def load_config(config_path):
with open(config_path, 'r') as file:
return yaml.safe_load(file)
def download_model(model_id, local_dir, platform, url=None):
# Ensure the local directory exists
os.makedirs(local_dir, exist_ok=True)
if platform == "HuggingFace":
print(f"Downloading model {model_id} from HuggingFace to {local_dir}")
snapshot_download(
repo_id=model_id,
local_dir=local_dir,
local_dir_use_symlinks=False,
allow_patterns=["*.pth", "*.bin", "*.json"], # Common model file extensions
ignore_patterns=["*.md", "*.txt"], # Ignore non-model files
)
print(f"Successfully downloaded {model_id} to {local_dir}")
elif platform == "GitHub":
if not url:
raise ValueError(f"No URL provided for GitHub model: {model_id}")
print(f"Downloading model {model_id} from GitHub URL {url} to {local_dir}")
# Extract filename from URL
filename = os.path.join(local_dir, os.path.basename(url))
response = requests.get(url, stream=True)
if response.status_code == 200:
with open(filename, 'wb') as f:
for chunk in response.iter_content(chunk_size=8192):
if chunk:
f.write(chunk)
print(f"Successfully downloaded {model_id} to {filename}")
else:
raise ValueError(f"Failed to download {model_id} from {url}: HTTP {response.status_code}")
else:
raise ValueError(f"Unsupported platform: {platform}")
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Download model checkpoints from HuggingFace or GitHub.")
parser.add_argument('--config', type=str, default="configs/model_ckpts.yaml",
help="Path to the YAML configuration file")
args = parser.parse_args()
# Load the YAML configuration
config = load_config(args.config)
# Iterate through models in the config
for model_config in config:
model_id = model_config['model_id']
local_dir = model_config['local_dir']
platform = model_config['platform']
url = model_config.get('url') # Get URL if it exists, None otherwise
download_model(model_id, local_dir, platform, url) |