code: def load(cls, load_dir, batch_size=4, gpu=False):
      import fasttext
  
      if os.path.isfile(load_dir):
          return cls(model=fasttext.load_model(load_dir))
      else:
          logger.error(
              f"Fasttext model file does not exist at: {load_dir}"
          )
  
imports: import logging
  import multiprocessing
  import os
  from functools import partial
  import warnings
  import torch
  from torch.utils.data.sampler import SequentialSampler
  from tqdm import tqdm
  from typing import Generator, List, Union
  from farm.data_handler.dataloader import NamedDataLoader
  from farm.data_handler.processor import Processor, InferenceProcessor, NaturalQuestionsProcessor
  from farm.data_handler.utils import grouper
  from farm.data_handler.inputs import QAInput
  from farm.modeling.adaptive_model import AdaptiveModel, BaseAdaptiveModel, ONNXAdaptiveModel
  from farm.modeling.optimization import optimize_model
  from farm.utils import initialize_device_settings, MLFlowLogger
  from farm.utils import set_all_seeds, calc_chunksize, log_ascii_workers, Benchmarker
  from farm.modeling.predictions import QAPred
label_desc: Use image node_id 2 for calling the FasttextInferencer obj's underlying member method code with example usage: obj.load(cls, load_dir, batch_size, gpu) and returns: cls