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:
- 3c79b38daa7a53b2d8e59a1d0d9c7f20340b6e8a091e8bb8f6b4c74b77458247
- Size of remote file:
- 378 MB
- SHA256:
- 3b5755c0a976689e959dbe49aad57167ec33bcb5dbec12adc23d7bba68676c6a
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