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:
- 6201b89c64428a18f247ba894386374cddadacc0d4f416b7e6c12cab16324faa
- Size of remote file:
- 5 GB
- SHA256:
- bd032738da7d8d1b468c6fed3fba38b235d73d1b26489947dc221ab5108b089f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.