reranker
Collection
reranker model • 6 items • Updated
How to use turingevo/bge-reranker-base-openvino with sentence-transformers:
from sentence_transformers import CrossEncoder
model = CrossEncoder("turingevo/bge-reranker-base-openvino")
query = "Which planet is known as the Red Planet?"
passages = [
"Venus is often called Earth's twin because of its similar size and proximity.",
"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
"Jupiter, the largest planet in our solar system, has a prominent red spot.",
"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
]
scores = model.predict([(query, passage) for passage in passages])
print(scores)This model was converted to OpenVINO from BAAI/bge-reranker-base 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 = "turingevo/bge-reranker-base-openvino"
model = OVModelForSequenceClassification.from_pretrained(model_id)
Base model
BAAI/bge-reranker-base