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.

Parti dalla chiamata a version.deploy mostrata nell’issue e traccia il caricamento del checkpoint. Riproduci il problema con le versioni indicate del pacchetto Python e ispeziona il percorso di caricamento del deployment per la compatibilità con PyTorch 2.6. Il lavoro è completato quando il checkpoint fornito viene sottoposto correttamente a deployment oppure il pacchetto rifiuta chiaramente o documenta la combinazione non supportata.