Audio Classification
Transformers
Safetensors
eat
feature-extraction
audio
audioset
sound-event-detection
distillation
custom_code
Instructions to use Scicom-intl/Melati-AudioSet-EAT-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Scicom-intl/Melati-AudioSet-EAT-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Scicom-intl/Melati-AudioSet-EAT-Large", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Scicom-intl/Melati-AudioSet-EAT-Large", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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