code: def __init__(
      self,
      config: "OnnxConfig",
      model: Union["PreTrainedModel", "TFPreTrainedModel"],
      model_kwargs: Optional[Dict[str, Any]] = None,
  ):
      super().__init__(config, model, model_kwargs)
      self.build_alibi_tensor_original = (
          transformers.models.falcon.modeling_falcon.build_alibi_tensor
      )
  
imports: import dataclasses
  import functools
  import inspect
  import math
  import sys
  import types
  from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Union
  import transformers
  from packaging import version
  from transformers.models.speecht5.modeling_speecht5 import SpeechT5EncoderWithSpeechPrenet
  from transformers.utils import is_torch_available
  from ...configuration_utils import _transformers_version
  from ...utils import logging
label_desc: Use image node_id 3 to create a new FalconModelPatcher object from inherited base classes: DecoderModelPatcher with example: obj = FalconModelPatcher(config, model, model_kwargs)