

Validating ONNX model distilbert_base_uncased_squad_onnx/model.onnx
    -[✓] ONNX model output names match reference model (start_logits, end_logits)
    - Validating ONNX Model output "start_logits":
        -[✓] (2, 16) matches (2, 16)
        -[✓] all values close (atol: 0.0001)
    - Validating ONNX Model output "end_logits":
        -[✓] (2, 16) matches (2, 16)
        -[✓] all values close (atol: 0.0001)
The ONNX export succeeded and the exported model was saved at: distilbert_base_uncased_squad_onnx
The example above illustrates exporting a checkpoint from 🤗 Hub. When exporting a local model, first make sure that you 
saved both the model's weights and tokenizer files in the same directory (local_path). When using CLI, pass the 
local_path to the model argument instead of the checkpoint name on 🤗 Hub and provide the --task argument. 
You can review the list of supported tasks in the 🤗 Optimum documentation.
If task argument is not provided, it will default to the model architecture without any task specific head.