Instructions to use alphaedge-ai/metaclip-2-worldwide-m16-384-por-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-por-16384 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/metaclip-2-worldwide-m16-384-por-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:
- beb8a7d2da40e4ccfd750094bcd4ba93e72918ba4e6c9b8c3a66fc5985e171c2
- Size of remote file:
- 341 MB
- SHA256:
- 6458d6efd3e4ccd40e8df7d9c469f8a4228a3689ce663703dcfb109ac91ab707
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