Instructions to use superb/hubert-base-superb-ks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use superb/hubert-base-superb-ks with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="superb/hubert-base-superb-ks")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("superb/hubert-base-superb-ks") model = AutoModelForAudioClassification.from_pretrained("superb/hubert-base-superb-ks", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload README.md
d7e0efe
-
Update README.md
a7a7026 -
Update README.md
8333ea6
-
Update info
10e57bf
-
Update README.md
8cf46f2 -
Update README.md
abfb9d4
-
Fix preprocessor config
af304f6
-
Tokenizer-less model
2922828
-
Upload model
20f885c
-
Create README.md
e2e5748 -
initial commit
f820956