Instructions to use Wiam/hubert-large-ll60k-finetuned-ravdess-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wiam/hubert-large-ll60k-finetuned-ravdess-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Wiam/hubert-large-ll60k-finetuned-ravdess-v4")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Wiam/hubert-large-ll60k-finetuned-ravdess-v4") model = AutoModelForAudioClassification.from_pretrained("Wiam/hubert-large-ll60k-finetuned-ravdess-v4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d92c10bbab4984cc55730736e318180e18f2cba755102f288358ea21841b29ed
- Size of remote file:
- 4.03 kB
- SHA256:
- 6ce68a6301bd8abcea6a1d5e42ed530726b671435df71a679a633394e2f38494
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