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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("PrachiPatel/AudioEmoDetect_v1") model = AutoModelForAudioClassification.from_pretrained("PrachiPatel/AudioEmoDetect_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from PrachiPatel/AudioEmoDetect_v1: direct link, hf CLI and curl.
- Browser
- Download file 86 Bytes
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https://huggingface.co/PrachiPatel/AudioEmoDetect_v1/resolve/main/README.md
- Command line
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hf download hf://PrachiPatel/AudioEmoDetect_v1/README.md
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curl -L -o README.md https://huggingface.co/PrachiPatel/AudioEmoDetect_v1/resolve/main/README.md
86 Bytes
| Label0=Anger | |
| Label1=Disgust | |
| Label2=Fear | |
| Label3=Happiness | |
| Label4=Neutral | |
| Label5=Sadness |