Zero-Shot Image Classification
sentence-transformers
Safetensors
Ukrainian
siglip
trimmed
🇪🇺 Region: EU
Instructions to use alphaedge-ai/siglip2-giant-opt-patch16-384-ukr-16384 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-ukr-16384 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/siglip2-giant-opt-patch16-384-ukr-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
- Xet hash:
- 3204a713caa68bdd3353fbfcf51df57519b41711e8676e022532c77bc95796f9
- Size of remote file:
- 1.4 GB
- SHA256:
- 24a9677f6eedc1b269e6ec090fb1cb5d9cad6da03e846e76fceaf0c25f4a6182
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