Zero-Shot Image Classification
sentence-transformers
Safetensors
Assamese
siglip
trimmed
🇪🇺 Region: EU
Instructions to use alphaedge-ai/siglip2-so400m-patch16-512-asm-32768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/siglip2-so400m-patch16-512-asm-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/siglip2-so400m-patch16-512-asm-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-so400m-patch16-512-asm-32768: direct link, hf CLI and curl.
- Browser
- Download file 3.52 GB
-
https://huggingface.co/alphaedge-ai/siglip2-so400m-patch16-512-asm-32768/resolve/main/model.safetensors
- Command line
-
hf download hf://alphaedge-ai/siglip2-so400m-patch16-512-asm-32768/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/alphaedge-ai/siglip2-so400m-patch16-512-asm-32768/resolve/main/model.safetensors
3.52 GB
- Xet hash:
- 45ee6d8463f850ff53b009a4ee7699c62ddd88ce91be76b7318b254acebde757
- Size of remote file:
- 3.52 GB
- SHA256:
- 1fa985d5f8fc78f876058c28091b370f3ff09525477af3bc0a75665364338fbc
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