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Download setup_models.py from BelikanM/SETRAF-ERT: direct link, hf CLI and curl.
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- Download file 1.66 kB
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https://huggingface.co/spaces/BelikanM/SETRAF-ERT/resolve/main/setup_models.py
- Command line
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hf download hf://spaces/BelikanM/SETRAF-ERT/setup_models.py
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curl -L -o setup_models.py https://huggingface.co/spaces/BelikanM/SETRAF-ERT/resolve/main/setup_models.py
1.66 kB
| #!/usr/bin/env python3 | |
| """ | |
| Script d'initialisation pour copier les modèles locaux vers HF Spaces | |
| """ | |
| import os | |
| import shutil | |
| from pathlib import Path | |
| def copy_model_to_cache(local_model_path, cache_model_name): | |
| """Copie un modèle local vers le cache HF""" | |
| cache_dir = Path.home() / ".cache" / "huggingface" / "hub" | |
| target_dir = cache_dir / f"models--{cache_model_name.replace('/', '--')}" | |
| if target_dir.exists(): | |
| print(f"✅ {cache_model_name} déjà présent dans le cache") | |
| return True | |
| source_dir = Path(local_model_path) | |
| if not source_dir.exists(): | |
| print(f"❌ Source {local_model_path} introuvable") | |
| return False | |
| print(f"📋 Copie {cache_model_name} vers le cache...") | |
| try: | |
| shutil.copytree(source_dir, target_dir) | |
| print(f"✅ {cache_model_name} copié avec succès") | |
| return True | |
| except Exception as e: | |
| print(f"❌ Erreur copie {cache_model_name}: {e}") | |
| return False | |
| if __name__ == "__main__": | |
| print("🔧 Configuration des modèles locaux pour HF Spaces...") | |
| # Copier Phi-3-mini | |
| phi_success = copy_model_to_cache( | |
| "/home/belikan/.cache/huggingface/hub/models--microsoft--Phi-3-mini-4k-instruct", | |
| "microsoft/Phi-3-mini-4k-instruct" | |
| ) | |
| # Copier CLIP | |
| clip_success = copy_model_to_cache( | |
| "/home/belikan/.cache/huggingface/hub/models--openai--clip-vit-base-patch32", | |
| "openai/clip-vit-base-patch32" | |
| ) | |
| if phi_success and clip_success: | |
| print("🎉 Tous les modèles configurés avec succès!") | |
| else: | |
| print("⚠️ Certains modèles n'ont pas pu être copiés") |