Audio Classification
Transformers
PyTorch
laughter_detection
laughter-detection
wavlm
speech
humor
stand-up-comedy
genki
Instructions to use Hayasuki/ChuckleNet-Genki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hayasuki/ChuckleNet-Genki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Hayasuki/ChuckleNet-Genki")# pip install -U transformers accelerate # Load model directly from transformers import WavLMForLaughterDetection model = WavLMForLaughterDetection.from_pretrained("Hayasuki/ChuckleNet-Genki", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload cv_results.png with huggingface_hub
Browse files- cv_results.png +2 -2
cv_results.png
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