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Download download_model.py from B4869/text_embedding_model: direct link, hf CLI and curl.
- Browser
- Download file 324 Bytes
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https://huggingface.co/spaces/B4869/text_embedding_model/resolve/main/download_model.py
- Command line
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hf download hf://spaces/B4869/text_embedding_model/download_model.py
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curl -L -o download_model.py https://huggingface.co/spaces/B4869/text_embedding_model/resolve/main/download_model.py
324 Bytes
| #login huggingface | |
| from huggingface_hub import login | |
| import os | |
| HF_TOKEN = os.getenv("HF_TOKEN") | |
| login(HF_TOKEN) | |
| #download model | |
| from sentence_transformers import SentenceTransformer | |
| print("Downloading model...") | |
| model = SentenceTransformer("google/embeddinggemma-300m") | |
| print("Model downloaded and cached successfully!") |