Instructions to use alphaedge-ai/siglip2-base-patch16-512-tgk-32768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/siglip2-base-patch16-512-tgk-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/siglip2-base-patch16-512-tgk-32768") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from alphaedge-ai/siglip2-base-patch16-512-tgk-32768: direct link, hf CLI and curl.
- Browser
- Download file 818 MB
-
https://huggingface.co/alphaedge-ai/siglip2-base-patch16-512-tgk-32768/resolve/main/model.safetensors
- Command line
-
hf download hf://alphaedge-ai/siglip2-base-patch16-512-tgk-32768/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/alphaedge-ai/siglip2-base-patch16-512-tgk-32768/resolve/main/model.safetensors
818 MB
- Xet hash:
- a48e18017eebe7bcd6f3279bdace309ee4707fba7374348b205c0aaca990fa3d
- Size of remote file:
- 818 MB
- SHA256:
- b03d155349b6daf449a74a18d3e0648835dff38ed9e92ce4366652eefe744d9d
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