You can convert a transformer-based LLM checkpoint to ONNX format for deployment using Hugging Face's transformers and onnx utilities for efficient inference.
Here is the code snippet below:

In the above code we are using the following key points:
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Loading a pretrained model and tokenizer from Hugging Face.
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Creating a dummy input to simulate model input shape for ONNX tracing.
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Using transformers.onnx.export to handle the ONNX conversion process.
Hence, this approach simplifies the transformation of transformer checkpoints into ONNX for optimized, hardware-agnostic deployment.