How would you convert a transformer-based LLM checkpoint to ONNX format for deployment

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With the help of code can i know How would you convert a transformer-based LLM checkpoint to ONNX format for deployment?
Apr 15 in Generative AI by Ashutosh
• 27,850 points
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1 answer to this question.

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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:

  • Loading a pretrained model and tokenizer from Hugging Face.

  • Creating a dummy input to simulate model input shape for ONNX tracing.

  • 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.
answered 2 days ago by minna

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