positional arguments:
  output                Path indicating where to store generated ONNX model.
optional arguments:
  -h, --help            show this help message and exit
  -m MODEL, --model MODEL
                        Model ID on huggingface.co or path on disk to load model from.
  --feature {causal-lm, ...}
                        The type of features to export the model with.
  --opset OPSET         ONNX opset version to export the model with.
  --atol ATOL           Absolute difference tolerence when validating the model.
```
Exporting a checkpoint using a ready-made configuration can be done as follows:
bash
python -m transformers.onnx --model=distilbert-base-uncased onnx/
which should show the following logs:
bash
Validating ONNX model...
        -[✓] ONNX model output names match reference model ({'last_hidden_state'})
