 Evaluation  The model can be evaluated as follows on the Lithuanian test data of Common Voice.  ```python  import torch  import torchaudio  from datasets import load_dataset, load_metric  from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor  import re  test_dataset = load_dataset("common_voice", "lt", split="test")  wer = load_metric("wer")  processor = Wav2Vec2Processor.from_pretrained("DeividasM/wav2vec2-large-xlsr-53-lithuanian")  model = Wav2Vec2ForCTC.from_pretrained("DeividasM/wav2vec2-large-xlsr-53-lithuanian")  model.to("cuda")  chars_to_ignore_regex = '[\\\\,\\\\?\\\\.\\\\!\\\\-\\\\;\\\\:\\\\"\\\\“]'  resampler = torchaudio.transforms.Resample(48_000, 16_000)  