 replace following lines to load an audio file of your choice librispeech_en = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean", split="validation") audio_file = librispeech_en[0]["file"]  asr = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-xls-r-300m-en-to-15", feature_extractor="facebook/wav2vec2-xls-r-300m-en-to-15")  translation = asr(audio_file, forced_bos_token_id=forced_bos_token_id) ```  or step-by-step as follows:  ```python import torch from transformers import Speech2Text2Processor, SpeechEncoderDecoderModel from datasets import load_dataset  model = SpeechEncoderDecoderModel.from_pretrained("facebook/wav2vec2-xls-r-300m-en-to-15") processor = Speech2Text2Processor.from_pretrained("facebook/wav2vec2-xls-r-300m-en-to-15")  ds = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean", split="validation")  