Hello!
*This pull request has been automatically generated from the [Sentence Transformers backend-export](https://huggingface.co/spaces/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:
```python
from sentence_transformers import SentenceTransformer
# TODO: Fill in the PR number
pr_number = 2
model = SentenceTransformer(
"myfi/semantic-embedding_2",
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)
```
