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license: apache-2.0
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# Cross-Encoder for MS MARCO - EN-DE (ONNX)

This repository hosts the ONNX format of the cross-lingual Cross-Encoder model for EN-DE, originally developed for passage re-ranking. It's based on the model trained using the [MS Marco Passage Ranking](https://github.com/microsoft/MSMARCO-Passage-Ranking) dataset.

The ONNX version maintains the efficiency and compatibility required for deployment in various environments, facilitating easier integration with platforms supporting ONNX models.

For the original model and further details, refer to [cross-encoder/msmarco-MiniLM-L12-en-de-v1](https://huggingface.co/cross-encoder/msmarco-MiniLM-L12-en-de-v1) on Hugging Face.

## Application
This model can be used for information retrieval tasks. For usage examples, see [SBERT.net Retrieve & Re-rank](https://www.sbert.net/examples/applications/retrieve_rerank/README.html).

## Training Code
The training script used for the original model is available in this repository, see `train_script.py`.

## How to Use in ONNX
To load and use the model in ONNX format, ensure you have the appropriate ONNX runtime installed in your environment. Example code for loading the model will be provided here.