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from pathlib import Path
from huggingface_hub import hf_hub_download, snapshot_download
REPO_ID = "lucas-ventura/chapter-llama"
# Dictionary mapping short identifiers to full model paths
MODEL_PATHS = {
"asr-1k": "outputs/chapterize/Meta-Llama-3.1-8B-Instruct/asr/default/sml1k_train/default/model_checkpoints/",
"asr-10k": "outputs/chapterize/Meta-Llama-3.1-8B-Instruct/asr/default/s10k-2_train/default/model_checkpoints/",
"captions_asr-1k": "outputs/chapterize/Meta-Llama-3.1-8B-Instruct/captions_asr/asr_s10k-2_train_preds+no-asr-10s/sml1k_train/default/model_checkpoints/",
"captions_asr-10k": "outputs/chapterize/Meta-Llama-3.1-8B-Instruct/captions_asr/asr_s10k-2_train_preds+no-asr-10s/sml10k_train/default/model_checkpoints/",
}
FILES = ["adapter_model.safetensors", "adapter_config.json"]
def download_model(model_id_or_path, overwrite=False, local_dir=None):
# Get filename from aliases or use the provided path
model_path = MODEL_PATHS.get(model_id_or_path, model_id_or_path)
for file in FILES:
try:
file_path = Path(model_path) / file
cache_path = hf_hub_download(
repo_id=REPO_ID,
filename=str(file_path),
force_download=overwrite,
local_dir=local_dir,
)
if not overwrite:
print(f"File {file} found in cache at: {cache_path}")
else:
print(f"File {file} downloaded to: {cache_path}")
except Exception as e:
print(f"Error downloading {file}: {e}")
return None
print("All files loaded successfully")
return str(Path(cache_path).parent)
def download_base_model(
repo_id="meta-llama/Meta-Llama-3.1-8B-Instruct",
local_dir="./models",
use_symlinks=False,
):
"""
Downloads the base model from Hugging Face Hub.
Args:
repo_id (str): The repository ID on Hugging Face
local_dir (str): Directory to save the model to
use_symlinks (bool): Whether to use symlinks for the downloaded files
Returns:
str: Path to the downloaded model directory
"""
try:
print(f"Downloading {repo_id} to {local_dir}...")
model_path = snapshot_download(
repo_id=repo_id, local_dir=local_dir, local_dir_use_symlinks=use_symlinks
)
print(f"Model downloaded successfully to: {model_path}")
return model_path
except Exception as e:
print(f"Error downloading model {repo_id}: {e}")
print(
f"\nYou are downloading `{repo_id}` to `{local_dir}` but failed. "
f"Please accept the agreement and obtain access at https://huggingface.co./{repo_id}. "
f"Then, use `huggingface-cli login` and your access tokens at https://huggingface.co./settings/tokens to authenticate. "
f"After that, run the code again."
)
return None
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(
description="Download models from Hugging Face Hub"
)
parser.add_argument(
"model_id", type=str, help="ID or full path of the model to download"
)
parser.add_argument(
"--overwrite",
action="store_true",
help="Force re-download even if the model exists in cache",
)
parser.add_argument(
"--local_dir",
type=str,
default=None,
help="Download to local directory instead of cache",
)
args = parser.parse_args()
model_dir = download_model(
args.model_id, overwrite=args.overwrite, local_dir=args.local_dir
)
print(f"Model directory: {model_dir}") |