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1import torch
2import torchaudio
3from datasets import load_dataset
4from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
5test_dataset = load_dataset("common_voice", "lt", split="test[:2%]")
6processor = Wav2Vec2Processor.from_pretrained("seccily/wav2vec-lt-lite")
7model = Wav2Vec2ForCTC.from_pretrained("seccily/wav2vec-lt-lite")
8resampler = torchaudio.transforms.Resample(48_000, 16_000)