Zero-Shot Image Classification
sentence-transformers
Safetensors
Chinese
siglip
trimmed
🇪🇺 Region: EU
Instructions to use alphaedge-ai/siglip2-giant-opt-patch16-384-zho-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/siglip2-giant-opt-patch16-384-zho-16384 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/siglip2-giant-opt-patch16-384-zho-16384") 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:
- 186b5c7305eaa8d384b1e1a9366a2e4c40f49cb3bb1c0ba3af38d527582e1a3a
- Size of remote file:
- 4.99 GB
- SHA256:
- 8d6f3c83fea17c85151104c03cf2f341a1b93ce14472bf89985d1324e22aaf5c
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