Instructions to use CloveAI/clov-embed-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use CloveAI/clov-embed-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("CloveAI/clov-embed-v2") 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:
- ed624f0013a35ac101bc638e2da72504fa2968ee6f3fc77939936852d0da8309
- Size of remote file:
- 36.3 MB
- SHA256:
- 3585cf0eb03c22ce6005097068c534b6c15accef55150cc71824051524af2061
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