intfloat

/

e5-large-v2

like 217

Hello!

This pull request has been automatically generated from the Sentence Transformers backend-export Space.

Pull Request overview

• Add exported ONNX model model.onnx.

Tip:

Consider testing this pull request before merging by loading the model from this PR with the revision argument:

from sentence_transformers import SentenceTransformer

# TODO: Fill in the PR number
pr_number = 2
model = SentenceTransformer(
    "intfloat/e5-large-v2",
    revision=f"refs/pr/{pr_number}",
    backend="onnx",
)

# Verify that everything works as expected
embeddings = model.encode(["The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium."])
print(embeddings.shape)

similarities = model.similarity(embeddings, embeddings)
print(similarities)