Instructions to use anton-l/wav2vec2-base-superb-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anton-l/wav2vec2-base-superb-sd with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("anton-l/wav2vec2-base-superb-sd") model = AutoModelForAudioFrameClassification.from_pretrained("anton-l/wav2vec2-base-superb-sd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45510f0b7d7b8bea30cd0ca6c1d75aae092283d2b421d15b45aae5109d0f19b0
- Size of remote file:
- 378 MB
- SHA256:
- 144afaa759230d15697f28641b9e691318859e58e3a5b8f22b8d263e995a4cfa
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