Instructions to use VasilisAsim/whisper-finetuned-Ravdess with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VasilisAsim/whisper-finetuned-Ravdess with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="VasilisAsim/whisper-finetuned-Ravdess")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("VasilisAsim/whisper-finetuned-Ravdess") model = AutoModelForAudioClassification.from_pretrained("VasilisAsim/whisper-finetuned-Ravdess") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46bfe8d07e88e796df3b0db9cfb3d2f86f1589b5342709484da642b44d23d70b
- Size of remote file:
- 5.2 kB
- SHA256:
- 0d541fe820cb8902f857ef7b9434f9b08a3e7215cc9aa8a18a95767d0089ee82
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