Text Classification
sentence-transformers
OpenVINO
Transformers
multilingual
xlm-roberta
text-embeddings-inference
openvino-export
Instructions to use sridhariyer/bge-reranker-v2-m3-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sridhariyer/bge-reranker-v2-m3-openvino with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("sridhariyer/bge-reranker-v2-m3-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) - Transformers
How to use sridhariyer/bge-reranker-v2-m3-openvino with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sridhariyer/bge-reranker-v2-m3-openvino")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sridhariyer/bge-reranker-v2-m3-openvino") model = AutoModelForSequenceClassification.from_pretrained("sridhariyer/bge-reranker-v2-m3-openvino", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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 = "sridhariyer/bge-reranker-v2-m3-openvino"
model = OVModelForSequenceClassification.from_pretrained(model_id)
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Model tree for sridhariyer/bge-reranker-v2-m3-openvino
Base model
BAAI/bge-reranker-v2-m3