Instructions to use alphaedge-ai/metaclip-2-worldwide-b16-384-fas-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-b16-384-fas-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/metaclip-2-worldwide-b16-384-fas-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:
- 3ca2955176084e119a4f6de840fe8e5dbbd95f49abee54d17469d8b3293d2771
- Size of remote file:
- 566 MB
- SHA256:
- 9ac2cc64160b98ca0caa1060000c9071e214928fd3211e4fa829d6d90d4d3a3a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.