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B4869/text_embedding_model

sourceHugging Facemitupdated 10mo agoView on Hugging Face

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download_model.py14 linesDownload Raw Back to root

1#login huggingface2from huggingface_hub import login3import os4 5HF_TOKEN = os.getenv("HF_TOKEN")6 7login(HF_TOKEN)8 9#download model10from sentence_transformers import SentenceTransformer11 12print("Downloading model...")13model = SentenceTransformer("google/embeddinggemma-300m")14print("Model downloaded and cached successfully!")