Now you can convert the label id to a label name:

id2label[str(2)]
'app_error'

Preprocess
The next step is to load a Wav2Vec2 feature extractor to process the audio signal:

from transformers import AutoFeatureExtractor
feature_extractor = AutoFeatureExtractor.from_pretrained("facebook/wav2vec2-base")

The MInDS-14 dataset has a sampling rate of 8000khz (you can find this information in it's dataset card), which means you'll need to resample the dataset to 16000kHz to use the pretrained Wav2Vec2 model: