Instructions to use khs1218/audio_cls2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khs1218/audio_cls2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="khs1218/audio_cls2")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("khs1218/audio_cls2") model = AutoModelForAudioClassification.from_pretrained("khs1218/audio_cls2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01c6509962c29defdf2cccb49eeef259f2121c0f00fa33b7401392d8b76cfa91
- Size of remote file:
- 5.2 kB
- SHA256:
- 654211e5957935c765009a53aabbabe26934a77be1048ef02e5359cba89cbb6d
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