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
Template C#/.NET project to run the ONNX flavor?
#6
by vermorel - opened
Hello,
I would be very interested in running the ONNX version of the multilingual-e5-small model. I see that the ONNX version is already part of the repo. Is there a template somewhere that would illustrate how to make this model work under C#/.NET?
Best regards,
Joannes Vermorel
Hi, Joannes,
Thanks for your interest.
Unfortunately, as far as I know, there is no such template.