#
Quickstart

##
Export

You can export your models to ONNX easily:

    optimum-cli export onnx --model meta-llama/Llama-3.2-1B --output_dir meta_llama3_2_1b_onnx

##
Inference

To load a model and run inference, you can just replace your `AutoModelForCausalLM` class with the corresponding `ORTModelForCausalLM` class. You can also load a PyTorch checkpoint and convert it to ONNX on-the-fly when loading your model.

    - from transformers import AutoModelForCausalLM
    + from optimum.onnxruntime import ORTModelForCausalLM
      from transformers import AutoTokenizer

      model_id = "meta-llama/Llama-3.2-1B"
      tokenizer = AutoTokenizer.from_pretrained(model_id)
    - model = AutoModelForCausalLM.from_pretrained(model_id)
    + model = ORTModelForCausalLM.from_pretrained(model_id)