Instructions to use moka-ai/m3e-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use moka-ai/m3e-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("moka-ai/m3e-base") 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:
- f83f9df6b0879763f87fd1d6339f52db09fb29a9fb69b80e45859514e06a57c8
- Size of remote file:
- 409 MB
- SHA256:
- 0a544833c902627231fb568d9a43e2f02c84366042e5596c0459de1526cb0f36
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