| from transformers import Wav2Vec2ProcessorWithLM | |
| import torchaudio | |
| import torch | |
| from datasets import load_dataset | |
| from transformers import AutoModelForCTC, AutoProcessor | |
| import torchaudio.functional as F | |
| model_id = "." | |
| model = AutoModelForCTC.from_pretrained(model_id) | |
| processor = AutoProcessor.from_pretrained(model_id) | |
| vocab_dict = processor.tokenizer.get_vocab() | |
| print(vocab_dict) | |
| sorted_vocab_dict = {k.lower(): v for k, v in sorted(vocab_dict.items(), key=lambda item: item[1])} |