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
π Documentation Enhancement Suggestion
#20 opened 3 months ago
by
CroviaTrust
π Documentation Enhancement Suggestion
#19 opened 3 months ago
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CroviaTrust
π Documentation Enhancement Suggestion
#18 opened 3 months ago
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CroviaTrust
π Documentation Enhancement Suggestion
#17 opened 3 months ago
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CroviaTrust
π Documentation Enhancement Suggestion
#16 opened 3 months ago
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CroviaTrust
add AIBOM
#15 opened 11 months ago
by
RiccardoDav
Template C#/.NET project to run the ONNX flavor?
1
#6 opened over 2 years ago
by
vermorel