Instructions to use elastic/multilingual-e5-small-optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use elastic/multilingual-e5-small-optimized with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("elastic/multilingual-e5-small-optimized") 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:
- c77d82be943063a92766ee329088b31895749285df8f2b71d83134874e327302
- Size of remote file:
- 412 MB
- SHA256:
- f505cc1e65299c28a4387d39c6ee8ec09e0333dd9af4969df50e3e45d7e9bc80
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