# Load model directly
from transformers import AutoProcessor, AutoModelForCTC
processor = AutoProcessor.from_pretrained("birgermoell/psst-libri960_big")
model = AutoModelForCTC.from_pretrained("birgermoell/psst-libri960_big", device_map="auto")Quick Links
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pssteval INFO: ASR metrics for split valid FER: 9.8% PER: 20.9%
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="birgermoell/psst-libri960_big")