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:
- 0d73d69bb5b693a104761160de87d48fab6d1ab1972bda8b4c803c9dd8b5a731
- Size of remote file:
- 4.09 kB
- SHA256:
- 1b79ee6e25e41c4b106d5a5ad864409029c9f0b03581d237855d009b2f0ebb2c
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