Deploy Weights Error

Issue に示されている version.deploy の呼び出しから開始し、checkpoint がどのように読み込まれるかを追跡します。記載されている Python パッケージのバージョンで再現し、PyTorch 2.6 との互換性について deployment の読み込みパスを調査します。提供された checkpoint が正常に deploy されるか、またはパッケージがサポートされていない組み合わせを明確に拒否するか文書化すれば完了です。

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.