Write a script to deploy a foundation model like GPT or BERT on AWS Lambda with ONNX optimization

Question

Can you tell me Write a script to deploy a foundation model (like GPT or BERT) on AWS Lambda with ONNX optimization.

Answer 1

You can deploy a foundation model like GPT or BERT on AWS Lambda with ONNX optimization by converting the model to ONNX, packaging it, and using a Lambda function for inference.

Here is the steps you can refer to:

1. Convert the Model to ONNX

2. AWS Lambda Inference Script (handler.py)

3. Deploy to AWS Lambda

• Package handler.py, bert_model.onnx, and dependencies (onnxruntime, transformers).

• Create a Lambda function, upload the package, and configure API Gateway for HTTP requests.

In the above code, we are using the following key points:

• ONNX Optimization (torch.onnx.export(...)): Speeds up inference.

• Lightweight Deployment (onnxruntime): Enables Lambda compatibility.

• Tokenization in Lambda (tokenizer(text, return_tensors="np")): Converts text input for ONNX.

• AWS API Gateway Integration: Allows external requests.

Hence, deploying an ONNX-optimized model on AWS Lambda ensures fast and scalable inference.