Audio Classification
Transformers
PyTorch
Chinese
wav2vec2_classifier
wav2vec2
sound-detection
few-shot-learning
Instructions to use lemonhall/heater-switch-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lemonhall/heater-switch-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="lemonhall/heater-switch-detector")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lemonhall/heater-switch-detector", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80851608f01fde5708bad1ac32dd2936c7a069fc28a1fcd5c17c1fd78a5d0637
- Size of remote file:
- 378 MB
- SHA256:
- 4d7c1ff15990d6e35fbeb1c0be6995b9f87f5013d2977ae1fb3c9127e9e3fa04
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