Instructions to use superb/wav2vec2-base-superb-er with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use superb/wav2vec2-base-superb-er with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="superb/wav2vec2-base-superb-er")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("superb/wav2vec2-base-superb-er") model = AutoModelForAudioClassification.from_pretrained("superb/wav2vec2-base-superb-er", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload README.md
441a759
-
Update README.md
17ac4e5
-
Update info
89a7d53
-
Upload model
54057c4
-
initial commit
d46e987