Instructions to use Imxxn/AudioCourseU4-MusicClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Imxxn/AudioCourseU4-MusicClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Imxxn/AudioCourseU4-MusicClassification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Imxxn/AudioCourseU4-MusicClassification") model = AutoModelForAudioClassification.from_pretrained("Imxxn/AudioCourseU4-MusicClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a8eded6ab6e9a0d02ac64384b5984aaf02e8176acc9c888878886f4d1423a22
- Size of remote file:
- 94.8 MB
- SHA256:
- d366fdb3b5b3961aecc244162b99cd473b4120f8db61885d74d234095a34eab4
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