Instructions to use sungkwan2/minds14_wav2vec2-korean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sungkwan2/minds14_wav2vec2-korean with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="sungkwan2/minds14_wav2vec2-korean")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("sungkwan2/minds14_wav2vec2-korean") model = AutoModelForAudioClassification.from_pretrained("sungkwan2/minds14_wav2vec2-korean", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf5ff8c62234042816939db972fe817cad14cf34959c9a25dfa7af42e7091b94
- Size of remote file:
- 378 MB
- SHA256:
- 5a2fab01c565207e6ce31889094dddd929652eb764a23a09b64d95611a4a91c0
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