Instructions to use Prasanna18/human-audio-sentiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prasanna18/human-audio-sentiments with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Prasanna18/human-audio-sentiments")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Prasanna18/human-audio-sentiments", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spectrogram_classifier.pth from Prasanna18/human-audio-sentiments: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/Prasanna18/human-audio-sentiments/resolve/main/spectrogram_classifier.pth
- Command line
-
hf download hf://Prasanna18/human-audio-sentiments/spectrogram_classifier.pth
-
curl -L -o spectrogram_classifier.pth https://huggingface.co/Prasanna18/human-audio-sentiments/resolve/main/spectrogram_classifier.pth
16.8 MB
- Xet hash:
- b0d964e9aebc1fcd491deff9f5090ecf0d55a9f971b16dd9fe01bffe7bd75a64
- Size of remote file:
- 16.8 MB
- SHA256:
- 20213a22be1db527c3c86bf7f6ce0d1668e8988131c199034bc4e0cf0ea79367
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