How to improve the inference performance of the MGeo model?

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A classification model has been developed using MGeo:

Foundation Model: mgeo_backbone_chinese_base Number of Classes: 270,000 Trained Model Size: about 1.2 GB GPU Employed: A800 Inference Performance: the response time for a single request is roughly 238ms. Request: Seeking support for converting the MGeo model to ONNX format, or exploring alternative methods to enhance the model's inference speed.