Zero-Shot Image Classification
sentence-transformers
Safetensors
Bashkir
siglip
trimmed
🇪🇺 Region: EU
Instructions to use alphaedge-ai/siglip2-giant-opt-patch16-384-bak-32768 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-bak-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/siglip2-giant-opt-patch16-384-bak-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:
- 669597ab77307f88dbcca3661ea3a0fc7edbc279c06fae43ba81efd45ac3f4e9
- Size of remote file:
- 1.46 GB
- SHA256:
- dcd7b9e79e1684fb55d687401d7b61de9c8b4dc13135d574f7d6fe76094aafb0
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