Instructions to use superb/hubert-large-superb-er with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use superb/hubert-large-superb-er with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="superb/hubert-large-superb-er")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("superb/hubert-large-superb-er") model = AutoModelForAudioClassification.from_pretrained("superb/hubert-large-superb-er") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 337e9d8a33ec008f6e447a504bc23e794c79f5708f929c3f4904df20a68769e4
- Size of remote file:
- 1.26 GB
- SHA256:
- f9e5f9386285300a3e5e7d7f6852f578fec7bb0cc75e89661a3f98db7112237d
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