Instructions to use alphaedge-ai/metaclip-2-worldwide-m16-384-msa-16384 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-m16-384-msa-16384 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/metaclip-2-worldwide-m16-384-msa-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:
- 1fd9ec19cd58e6f0d24eae12ab309cd665b2ee11247d930008af4b266e135bd6
- Size of remote file:
- 341 MB
- SHA256:
- 79b40cbae7d29375860fdb557a13e91873133f55ecc13da3a9555192f6d51742
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