Instructions to use alphaedge-ai/metaclip-2-worldwide-s16-384-fas-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-s16-384-fas-16384 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/metaclip-2-worldwide-s16-384-fas-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:
- e4a34a90bdefdfaaba93751d7d8b3cc731e91a47142957394a22c11a0f18657a
- Size of remote file:
- 199 MB
- SHA256:
- 10546151191a50b3527f793af05f360a0ab9e0089c61d957abd403e44cd90289
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.