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{"Detail":"Error Processing Request: Error: Failed Loading Preprocess Code For 'Py_Code_Best_Model': [Errno 2] No Such File Or Directory: '/Root/.Clearml/Cache/Storage_Manager/Global/Cd46Dd0091D71B5294Dc6870Ac6D17Dc..._Artifacts_Archive_Py_Code_Best_Model


DS, this way they only need to remember (and me only need to teach them where to find) one id.

Yes that's the point, this ID is the Model UID (as opposed to the Task ID), the reason I kind if "insist" on it is that the Model ID is built into the system meaning, this is how you register it, as opposed to the Task ID that somehow needs to be hacked/passed externally

TBH the main reason I went with our API is that because of the custom model loading, we need to use the "custom" framework anyway.

The custom model loading supports it:
https://github.com/allegroai/clearml-serving/blob/e09e6362147da84e042b3c615f167882a58b8ac7/examples/custom/preprocess.py#L37
This function basically gets the output of:
local_file_name = Model(model_id_here).get_local_copy() Preprocess.load(local_file_name)This means your custom load function can be:
def load(self, local_file_name: str) -> Optional[Any]: # noqa self._model = XGBClassifier() self._model.load_model(local_file_name)wdyt?

  
  
Posted one year ago
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one year ago
one year ago