UlanYisaev
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license: apache-2.0
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license: apache-2.0
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# Cross-Encoder for MS MARCO - EN-DE (ONNX)
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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.
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The ONNX version maintains the efficiency and compatibility required for deployment in various environments, facilitating easier integration with platforms supporting ONNX models.
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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.
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## Application
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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).
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## Training Code
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The training script used for the original model is available in this repository, see `train_script.py`.
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## How to Use in ONNX
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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.
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