Instructions to use elastic/multilingual-e5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use elastic/multilingual-e5-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("elastic/multilingual-e5-small") 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
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### Disclaimer
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Customers may add third party trained models for management in Elastic. These models are not owned by Elastic. While Elastic will support the integration with these models in the performance according to the documentation, you understand and agree that Elastic has no control over, or liability for, the third party models or the underlying training data they may utilize.
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This e5 model, as defined, hosted, integrated and used in conjunction with our other Elastic Software is covered by our standard warranty.
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### Disclaimer
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This e5 model, as defined, hosted, integrated and used in conjunction with our other Elastic Software is covered by our standard warranty.
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