Instructions to use VasilisAsim/hubert-finetuned-Ravdess with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VasilisAsim/hubert-finetuned-Ravdess with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="VasilisAsim/hubert-finetuned-Ravdess")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("VasilisAsim/hubert-finetuned-Ravdess") model = AutoModelForAudioClassification.from_pretrained("VasilisAsim/hubert-finetuned-Ravdess", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a32608894bc9443026a509c019846b3f188c79dace2a4006224dd1cd891a8444
- Size of remote file:
- 5.2 kB
- SHA256:
- 430b4bc71d9f1da1951ea5d06821aafdf52d20ee1ed479c21b8e52acda716a5f
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