Instructions to use minato-ryan/cv-age-multi-3epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minato-ryan/cv-age-multi-3epoch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="minato-ryan/cv-age-multi-3epoch")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("minato-ryan/cv-age-multi-3epoch") model = AutoModelForAudioClassification.from_pretrained("minato-ryan/cv-age-multi-3epoch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d137943613a41c153c8c875cf3ac32faaa00af3a229fdacd5418bd88ab0c14c
- Size of remote file:
- 5.84 kB
- SHA256:
- 3f938fac96e94097ce8b7e41390ee56e041b8c132568a0e0a7e393b917352cc7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.