How to use FadQ/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="FadQ/results")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("FadQ/results") model = AutoModelForAudioClassification.from_pretrained("FadQ/results", device_map="auto")
Mlaana