Instructions to use adavirro/adavirro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adavirro/adavirro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="adavirro/adavirro")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("adavirro/adavirro") model = AutoModelForAudioClassification.from_pretrained("adavirro/adavirro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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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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