chunk_content: fy the model name (either a Hub model repository id or a path to a directory containing the model), language and language abbreviation to train on, the task type, and the dataset name:
  
  
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  import os
  
  os.environ["CUDA_VISIBLE_DEVICES"] = "0"
  model_name_or_path = "openai/whisper-large-v2"
  language = "Marathi"
  language_abbr = "mr"
  task = "transcribe"
  dataset_name = "mozilla-foundation/common_voice_11_0"
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