How to use alphaedge-ai/siglip2-base-patch16-512-ben-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/siglip2-base-patch16-512-ben-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]
https://huggingface.co/alphaedge-ai/siglip2-base-patch16-512-ben-32768/resolve/main/tokenizer.json
hf download hf://alphaedge-ai/siglip2-base-patch16-512-ben-32768/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/alphaedge-ai/siglip2-base-patch16-512-ben-32768/resolve/main/tokenizer.json
