Instructions to use dima806/classical_composer_classification-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dima806/classical_composer_classification-new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="dima806/classical_composer_classification-new")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("dima806/classical_composer_classification-new") model = AutoModelForAudioClassification.from_pretrained("dima806/classical_composer_classification-new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e31f15727df1dc205924e17ba22f6a6d66235d10885cf0e1f155f4b690ce3071
- Size of remote file:
- 378 MB
- SHA256:
- 92ac10259bcbc92247d8bbf85b88aba1fe1f91f425affd29d755a298f2f5e430
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