Instructions to use alphaedge-ai/metaclip-2-worldwide-m16-384-est-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-m16-384-est-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/metaclip-2-worldwide-m16-384-est-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:
- 6ee0f975c71c59abdb257463c1fb95aca3c1577cc6cfc987b88c3b33b9c511b0
- Size of remote file:
- 375 MB
- SHA256:
- c3df0d1ab19c547f0b88c5c23a2dcd8c129ffa6555bd3b5311eabcb58492ff91
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.