Instructions to use alphaedge-ai/siglip2-base-patch16-512-por-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-por-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/siglip2-base-patch16-512-por-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
- Xet hash:
- f0ddfe670b44a828b9ea5fa699d4cbaeddc19c50bf47c990437ba3794107dca2
- Size of remote file:
- 818 MB
- SHA256:
- 9fc5562820e83c089bae82845e7a0fd7c496c12854cc5aa3f2ad0ec2c2454593
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