Hello!
*This pull request has been automatically generated from the [`export_static_quantized_openvino_model`](https://sbert.net/docs/package_reference/util.html#sentence_transformers.backend.export_static_quantized_openvino_model) function from the Sentence Transformers library.*
## Config
```python
OVQuantizationConfig(
quant_method=<OVQuantizationMethod.DEFAULT: 'default'>
)
```
## Tip:
Consider testing this pull request before merging by loading the model from this PR with the `revision` argument:
```python
from sentence_transformers import CrossEncoder
# TODO: Fill in the PR number
pr_number = 2
model = CrossEncoder(
"cross-encoder/stsb-roberta-base",
revision=f"refs/pr/{pr_number}",
backend="openvino",
model_kwargs={"file_name": "openvino_model_qint8_quantized.xml"},
)
# Verify that everything works as expected
query = "Which planet is known as the Red Planet?"
passages = [
"Venus is often called Earth's twin because of its similar size and proximity.",
"M…
