Instructions to use byhylee/korean_kws2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use byhylee/korean_kws2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="byhylee/korean_kws2")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("byhylee/korean_kws2") model = AutoModelForAudioClassification.from_pretrained("byhylee/korean_kws2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43248a00e83bfb983ecbfe7e7a5b44f7e2201e508c4cbf1a8c808bcb3a6801e7
- Size of remote file:
- 5.2 kB
- SHA256:
- 14ce06256a8eff342fe100a46c0dec3709ecc3b2dd5087ea2088282668bd81fa
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