Instructions to use SagaEmbed/saga-embed_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use SagaEmbed/saga-embed_v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SagaEmbed/saga-embed_v1") 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
Commit History
15 days ago
-
Update README.md
Verified signature5f59752
-
Update README.md
Verified signature2a7c297
-
Update README.md
Verified signature407f1ea -
Update README.md
Verified signature34a50aa
-
Update README.md
Verified signature6358fce -
Update README.md
Verified signature5ceac9e -
Update README.md
Verified signature78bf1d9
-
Update README.md
Verified signature86a6a40 -
Update README.md
Verified signature1b1ba0f
-
Create README.md
Verified signaturea5e9beb -
Initial model upload for MTEB evaluation
Verified signature3be07ac -
initial commit
Verified signature11a3c59