Instructions to use alphaedge-ai/metaclip-2-worldwide-giant-378-mkd-32768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/metaclip-2-worldwide-giant-378-mkd-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/metaclip-2-worldwide-giant-378-mkd-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:
- 01ab5e08315dbc30d0e4186334f41cb3ddd24e939caa8592e218e50b7f29648b
- Size of remote file:
- 10.1 GB
- SHA256:
- ce2242645ba9aae622658b28ca3d19d8d5984199647cb69bfb49add3f57b5597
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