# Load model directly
from transformers import AutoProcessor, AutoModelForAudioClassification
processor = AutoProcessor.from_pretrained("dima806/cat_dog_sounds_classification")
model = AutoModelForAudioClassification.from_pretrained("dima806/cat_dog_sounds_classification")Quick Links
See https://www.kaggle.com/code/dima806/cats-dogs-sounds-classifier for details.
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Base model
facebook/wav2vec2-base-960h
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="dima806/cat_dog_sounds_classification")