refactor: Use HF to download the LoRA

[narendasan]

Description

Small changes to the refit example

Fixes # (issue)

Type of change

Please delete options that are not relevant and/or add your own.

• Small refactor

Checklist:

• My code follows the style guidelines of this project (You can use the linters)
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas and hacks
• I have made corresponding changes to the documentation
• I have added tests to verify my fix or my feature
• New and existing unit tests pass locally with my changes
• I have added the relevant labels to my PR in so that relevant reviewers are notified

[github-actions]

There are some changes that do not conform to Python style guidelines:

--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_compile.py	2024-08-15 16:39:27.396063+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_compile.py	2024-08-15 16:41:10.804232+00:00
@@ -532,6 +532,6 @@

                with enable_torchbind_tracing():
                    exp_program = torch.export.export(
                        module, tuple(arg_inputs), kwargs=kwarg_inputs, strict=False
                    )
-                    torch.export.save(exp_program, file_path)
\ No newline at end of file
+                    torch.export.save(exp_program, file_path)
--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/runtime/_MutableTorchTensorRTModule.py	2024-08-15 16:39:27.404063+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/runtime/_MutableTorchTensorRTModule.py	2024-08-15 16:41:12.141635+00:00
@@ -372,11 +372,11 @@
        return result

    def to(self, device: str):
        logger.warning("Original PyTorch model is moved. CPU offload may failed.")
        self.orignial_model.to(device)
-        
+
    def __deepcopy__(self, memo: Any) -> Any:
        cls = self.__class__
        result = cls.__new__(cls)
        memo[id(self)] = result
        for k, v in self.__dict__.items():

[github-actions]

There are some changes that do not conform to Python style guidelines:

--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_compile.py	2024-08-15 16:39:25.741226+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/_compile.py	2024-08-15 16:41:20.003659+00:00
@@ -532,6 +532,6 @@

                with enable_torchbind_tracing():
                    exp_program = torch.export.export(
                        module, tuple(arg_inputs), kwargs=kwarg_inputs, strict=False
                    )
-                    torch.export.save(exp_program, file_path)
\ No newline at end of file
+                    torch.export.save(exp_program, file_path)
--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/runtime/_MutableTorchTensorRTModule.py	2024-08-15 16:39:25.749226+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/runtime/_MutableTorchTensorRTModule.py	2024-08-15 16:41:21.365794+00:00
@@ -372,11 +372,11 @@
        return result

    def to(self, device: str):
        logger.warning("Original PyTorch model is moved. CPU offload may failed.")
        self.orignial_model.to(device)
-        
+
    def __deepcopy__(self, memo: Any) -> Any:
        cls = self.__class__
        result = cls.__new__(cls)
        memo[id(self)] = result
        for k, v in self.__dict__.items():