Instructions to use artyomboyko/wav2vec2-base-finetuned-ks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artyomboyko/wav2vec2-base-finetuned-ks with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="artyomboyko/wav2vec2-base-finetuned-ks")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("artyomboyko/wav2vec2-base-finetuned-ks") model = AutoModelForAudioClassification.from_pretrained("artyomboyko/wav2vec2-base-finetuned-ks", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f174e391ab6546da5ed7c14abb25e6f10d78c67e61ff932051492d10bf3d826
- Size of remote file:
- 4.54 kB
- SHA256:
- 34d8b284b5327f4f37a5069554103b432aba31c4a91716311f0e8839e7863938
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