docstr: Validate parameters before uploading trained model artifacts.
  
  This method checks if the input parameters meet the necessary requirements before uploading
  trained model artifacts to the target repository.
  
  Args:
      repo_id (str): The ID of the target repository. It must be a less than 256 characters.
      model_path (str): The path to the directory containing the trained model artifacts. It should contain
          the model's weights, usually saved under 'model/model_weights'.
      repo_type (str, optional): The type of the repository. Not used in the base class, but subclasses
          may use it for specific repository implementations. Defaults to None.
      private (bool, optional): Whether the repository should be private or not. Not used in the base class,
          but subclasses may use it for specific repository implementations. Defaults to False.
      commit_message (str, optional): A message to attach to the commit when uploading to version control
          systems. Not used in the base class, but subclasses may use it for specific repository
          implementations. Defaults to None.
      commit_description (str, optional): A description of the commit when uploading to version control
          systems. Not used in the base class, but subclasses may use it for specific repository
          implementations. Defaults to None.
  
  Raises:
      ValueError: If the repo_id is too long.
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code: def _validate_upload_parameters(
      repo_id: str,
      model_path: str,
      repo_type: str | None = None,
      private: bool | None = False,
      commit_message: str | None = None,
      commit_description: str | None = None,
  ):
      """Validate parameters before uploading trained model artifacts.
  
      This method checks if the input parameters meet the necessary requirements before uploading
      trained model artifacts to the target repository.
  
      Args:
          repo_id (str): The ID of the target repository. It must be a less than 256 characters.
          model_path (str): The path to the directory containing the trained model artifacts. It should contain
              the model's weights, usually saved under 'model/model_weights'.
          repo_type (str, optional): The type of the repository. Not used in the base class, but subclasses
              may use it for specific repository implementations. Defaults to None.
          private (bool, optional): Whether the repository should be private or not. Not used in the base class,
              but subclasses may use it for specific repository implementations. Defaults to False.
          commit_message (str, optional): A message to attach to the commit when uploading to version control
              systems. Not used in the base class, but subclasses may use it for specific repository
              implementations. Defaults to None.
          commit_description (str, optional): A description of the commit when uploading to version control
              systems. Not used in the base class, but subclasses may use it for specific repository
              implementations. Defaults to None.
  
      Raises:
          ValueError: If the repo_id is too long.
      """
      if len(repo_id) > 255:
          raise ValueError("`repo_id` must be 255 characters or less.")
  
      BaseModelUpload._validate_upload_parameters(
          repo_id,
          model_path,
          repo_type,
          private,
          commit_message,
          commit_description,
      )
  
imports: from __future__ import annotations
  import logging
  import os
  from abc import ABC, abstractmethod
  from huggingface_hub import HfApi, login
label_desc: Use image node_id 3 for calling the Predibase obj's underlying member method code with example usage: obj._validate_upload_parameters(repo_id, model_path, repo_type, private, commit_message, commit_description) without return types