Add new SentenceTransformer model with an openvino backend

Hello!

*This pull request has been automatically generated from the [`push_to_hub`](https://sbert.net/docs/package_reference/sentence_transformer/SentenceTransformer.html#sentence_transformers.SentenceTransformer.push_to_hub) method from the Sentence Transformers library.*

## Full Model Architecture:
```
SentenceTransformer(
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: OVModelForFeatureExtraction
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)
```

## 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(
"Detomo/cl-nagoya-sup-simcse-ja-nss-v1_1",
revision=f"refs/pr/{pr_number}",
backend="openvino",
)

# 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)
```

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "C:/Project/Detomo/2025/meisai-check/meisai-api/meisaicheck-api/data/model\\Detomo/cl-nagoya-sup-simcse-ja-nss-v1_1-onnx-quantized",
+  "_name_or_path": "C:/Project/Detomo/2025/meisai-check/meisai-api/meisaicheck-api/data/model\\Detomo/cl-nagoya-sup-simcse-ja-nss-v1_1-openvino-quantized",
   "architectures": [
     "BertModel"
   ],

openvino/openvino_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be47371dbd0f784d9e41e80d7d8ed0dfcfbf0fcc4828456f11b10b512a56021d
+size 442470560