| from sentence_transformers import SentenceTransformer | |
| if __name__ == "__main__": | |
| print("🔹 Pre-downloading embedding model: all-MiniLM-L6-v2 ...") | |
| model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2") | |
| model.encode(["test"]) # trigger download | |
| print("✅ Embedding model cached successfully.") | |