Zero-Shot Image Classification
sentence-transformers
Safetensors
Gujarati
siglip
trimmed
🇪🇺 Region: EU
Instructions to use alphaedge-ai/siglip2-large-patch16-512-guj-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/siglip2-large-patch16-512-guj-16384 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/siglip2-large-patch16-512-guj-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
Download model.safetensors from alphaedge-ai/siglip2-large-patch16-512-guj-16384: direct link, hf CLI and curl.
- Browser
- Download file 2.55 GB
-
https://huggingface.co/alphaedge-ai/siglip2-large-patch16-512-guj-16384/resolve/main/model.safetensors
- Command line
-
hf download hf://alphaedge-ai/siglip2-large-patch16-512-guj-16384/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/alphaedge-ai/siglip2-large-patch16-512-guj-16384/resolve/main/model.safetensors
2.55 GB
- Xet hash:
- e1d23f0ec19f40592b9bb2562cc059cc9bde5baacaf0e04f7fe2cbb8a694da38
- Size of remote file:
- 2.55 GB
- SHA256:
- ced615367da4a2dccb21de18d0318efa3ece5df81873ca9befed0221453ec336
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