Audio Classification
Transformers
Safetensors
custom
laughter-detection
laughter-anticipation
wavlm
speech
humor
stand-up-comedy
ten
human-verified
Instructions to use Hayasuki/ChuckleNet-Ten with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hayasuki/ChuckleNet-Ten with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Hayasuki/ChuckleNet-Ten")# pip install -U transformers accelerate # Load model directly from transformers import ChuckleNetVerified model = ChuckleNetVerified.from_pretrained("Hayasuki/ChuckleNet-Ten", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
23 days ago
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FIXED: Lead with held-out IoU-F1, explain 66% gap, remove broken import, add gate explanations, fix citation
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Enhanced model card with Chinese sections, detailed examples, and LLM metadata
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Enhanced model card with architecture diagrams, metrics charts, and visualizations
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Update model card with anime theme and enhanced documentation
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24 days ago
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Upload verified ChuckleNet model (human-verified labels, F1=0.975)
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