def METHOD_NAME():
    header_dict = {
        "model_id": "tensorflow-ic-imagenet-inception-v3-classification-4",
        "version": "1.0.0",
        "min_version": "2.49.0",
        "spec_key": "community_models_specs/tensorflow-ic-imagenet-inception-v3-classification-4/specs_v1.0.0.json",
    }
    header1 = JumpStartModelHeader(header_dict)
    assert header1.model_id == "tensorflow-ic-imagenet-inception-v3-classification-4"
    assert header1.version == "1.0.0"
    assert header1.min_version == "2.49.0"
    assert (
        header1.spec_key
        == "community_models_specs/tensorflow-ic-imagenet-inception-v3-classification-4/specs_v1.0.0.json"
    )
    assert header1.to_json() == header_dict
    header2 = JumpStartModelHeader(
        {
            "model_id": "pytorch-ic-imagenet-inception-v3-classification-4",
            "version": "1.0.0",
            "min_version": "2.49.0",
            "spec_key": "community_models_specs/tensorflow-ic-imagenet-inception-v3-classification-4/specs_v1.0.0.json",
        }
    )
    assert header1 != header2
    header3 = copy.deepcopy(header1)
    assert header1 == header3