# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForAudioClassification
processor = AutoProcessor.from_pretrained("adavirro/adavirro")
model = AutoModelForAudioClassification.from_pretrained("adavirro/adavirro", device_map="auto")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This is a checkpoint from another training run that I retrieved from local file and pushed under wrong name XD
The actual model is stored at: adavirro/distilhubert-finetuned-gtzan
This will be deleted after I finish the audio course
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="adavirro/adavirro")