| from sentence_transformers import CrossEncoder | |
| print("Starting model download to local cache...") | |
| # This will download the model to a central Hugging Face cache on your Mac | |
| # It might be in ~/.cache/huggingface/hub/ or similar | |
| model = CrossEncoder('cross-encoder/nli-roberta-base') | |
| print("Model download complete!") |