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")# pip install -U transformers accelerate # 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
Commit History
-
End of training
ae0b3a2 -
End of training
3a56349 -
Training in progress, epoch 15
92d041f -
Training in progress, epoch 14
bf8e818 -
Training in progress, epoch 13
1db4648 -
Training in progress, epoch 12
c00faad -
Create README.md
09b756d -
Training in progress, epoch 11
d1a94e0 -
Training in progress, epoch 10
a568918 -
Training in progress, epoch 9
c2de77a -
Training in progress, epoch 8
60ef429 -
Training in progress, epoch 7
847bae0 -
Training in progress, epoch 6
5097a47 -
Training in progress, epoch 5
6c970ae -
Training in progress, epoch 4
083d370 -
Training in progress, epoch 3
9d24009 -
Training in progress, epoch 2
805fe5d -
Training in progress, epoch 1
c1fc79c -
initial commit
75012ec