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granite-embedding-reranker-english-r2-ONNX
jrc2139/granite-embedding-reranker-english-r2-ONNX
granite-embedding-reranker-english-r2-ONNX is a text classification model from jrc2139. Use it when you need a label for a piece of text. It is set up for sentence-transformers.
This repository contains ONNX export and multiple quantized versions of ibm-granite/granite-embedding-reranker-english-r2.
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At a glance
- Task
- Text Classification
- Library
- sentence-transformers
- Model type
- modernbert
- Access
- Public
- Created
- Dec 9, 2025
- Updated
- Jan 16, 2026
- SHA
- 2ab5a172
Try a prompt
Base models
Model card
From the Hugging Face model README
ONNX Quantized versions of ibm-granite/granite-embedding-reranker-english-r2
This repository contains ONNX export and multiple quantized versions of ibm-granite/granite-embedding-reranker-english-r2.
Usage
from sentence_transformers import CrossEncoder
# Load Int8 model (ARM64 example)
model = CrossEncoder(
"jrc2139/granite-embedding-reranker-english-r2-onnx",
backend="onnx",
model_kwargs={"file_name": "onnx/model_qint8_arm64.onnx"},
trust_remote_code=True
)
scores = model.predict([("Query", "Document")])
- Task
- Text Classification
- Library
- sentence-transformers
- Type
- modernbert
- Created
- Dec 9, 2025
- Updated
- Jan 16, 2026