# Load model directly
from transformers import AutoProcessor, AutoModelForAudioClassification
processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-unispeech-sat")
model = AutoModelForAudioClassification.from_pretrained("hf-internal-testing/tiny-random-unispeech-sat")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="hf-internal-testing/tiny-random-unispeech-sat")