Deploy Weights Error

Hi I am trying to deploy my model trained on local computer to RoboFlow.

Deploy code:

import roboflow

rf = roboflow.Roboflow(api_key=ROBOFLOW_API_KEY)
project = rf.workspace("<workspace>").project("<project>")

version = project.version(1)
version.deploy("yolov9", "<ffile_path>", "weights/best.pt")

This gives an error

Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint.
        (1) In PyTorch 2.6, we changed the default value of the `weights_only` argument in `torch.load` from `False` to `True`. Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
        (2) Alternatively, to load with `weights_only=True` please check the recommended steps in the following error message.
        WeightsUnpickler error: Unsupported global: GLOBAL numpy.core.multiarray._reconstruct was not an allowed global by default. Please use `torch.serialization.add_safe_globals([_reconstruct])` or the `torch.serialization.safe_globals([_reconstruct])` context manager to allowlist this global if you trust this class/function.

Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.

Torch version: 2.6.0
Ultralytics version: 8.3.73
Roboflow version: 1.1.53

Any help appreciated.

Start at the version.deploy call shown in the issue and trace how the checkpoint is loaded. Reproduce with the listed Python package versions and inspect the deployment loading path for PyTorch 2.6 compatibility. Done means the provided checkpoint deploys successfully or the package clearly rejects or documents the unsupported combination.