Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
OpenVINO
bert
mteb
Sentence Transformers
Eval Results (legacy)
Eval Results
text-embeddings-inference
Instructions to use intfloat/multilingual-e5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use intfloat/multilingual-e5-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("intfloat/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] - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Add evaluation results for model intfloat/multilingual-e5-small revision fd1525a9fd15316a2d503bf26ab031a61d056e98 (#22)
- Add evaluation results for model intfloat/multilingual-e5-small revision fd1525a9fd15316a2d503bf26ab031a61d056e98 (0a1c1d9ee03224db176563ffcfbc3bbc38f35266) Co-authored-by: Solomatin Roman <Samoed@users.noreply.huggingface.co>614241f -
Add evaluation results for model intfloat/multilingual-e5-small revision fd1525a9fd15316a2d503bf26ab031a61d056e98 (#21)
- Add evaluation results for model intfloat/multilingual-e5-small revision fd1525a9fd15316a2d503bf26ab031a61d056e98 (8d923955b027282ba975c0a4c825486c9ca4c490) Co-authored-by: Solomatin Roman <Samoed@users.noreply.huggingface.co>99f9015