Instructions to use PrachiPatel/AudioEmoDetect_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrachiPatel/AudioEmoDetect_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="PrachiPatel/AudioEmoDetect_v1")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("PrachiPatel/AudioEmoDetect_v1") model = AutoModelForAudioClassification.from_pretrained("PrachiPatel/AudioEmoDetect_v1") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Label0=Anger Label1=Disgust Label2=Fear Label3=Happiness Label4=Neutral Label5=Sadness
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