How to use from the
Use from the
sentence-transformers library
from sentence_transformers import SentenceTransformer

model = SentenceTransformer("grandfso/bge-reranker-v2-m3-openvino")

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]

This model was converted to OpenVINO from BAAI/bge-reranker-v2-m3 using optimum-intel via the export space.

First make sure you have optimum-intel installed:

pip install optimum[openvino]

To load your model you can do as follows:

from optimum.intel import OVModelForSequenceClassification

model_id = "grandfso/bge-reranker-v2-m3-openvino"
model = OVModelForSequenceClassification.from_pretrained(model_id)
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