| from __future__ import annotations | |
| import subprocess | |
| from pathlib import Path | |
| PROJECT_ROOT = Path(__file__).resolve().parents[1] | |
| MODELS_DIR = PROJECT_ROOT / "models" / "google__flan-t5-small" | |
| MODEL_REPO = "google/flan-t5-small" | |
| REQUIRED_FILES = [ | |
| "config.json", | |
| "generation_config.json", | |
| "special_tokens_map.json", | |
| "spiece.model", | |
| "tokenizer.json", | |
| "tokenizer_config.json", | |
| "model.safetensors", | |
| ] | |
| def download_file(relative_path: str) -> None: | |
| destination = MODELS_DIR / relative_path | |
| destination.parent.mkdir(parents=True, exist_ok=True) | |
| if destination.exists(): | |
| print(f"Skipping existing file: {destination}") | |
| return | |
| url = f"https://huggingface.co/{MODEL_REPO}/resolve/main/{relative_path}" | |
| print(f"Downloading {MODEL_REPO}/{relative_path}") | |
| subprocess.run( | |
| ["curl", "-L", "--fail", url, "-o", str(destination)], | |
| check=True, | |
| ) | |
| def main() -> None: | |
| MODELS_DIR.mkdir(parents=True, exist_ok=True) | |
| for file_name in REQUIRED_FILES: | |
| download_file(file_name) | |
| print("Hugging Face chat fallback model downloaded successfully.") | |
| if __name__ == "__main__": | |
| main() | |
Xet Storage Details
- Size:
- 1.18 kB
- Xet hash:
- 861ed0aff935d4c98466e3b168a2da8b06f6dc10152f949c7fa4e02fe3cd7c1b
·
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