Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use devkya/ko-commands-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkya/ko-commands-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="devkya/ko-commands-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("devkya/ko-commands-classification") model = AutoModelForAudioClassification.from_pretrained("devkya/ko-commands-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature19726e4 -
Training in progress, epoch 0
Verified signatured78c2ea -
End of training
Verified signatureb25e180 -
Training in progress, epoch 0
Verified signature151103c -
End of training
Verified signature700e4d1 -
Training in progress, epoch 0
Verified signatureb09e3e8 -
End of training
Verified signaturec878641 -
Training in progress, epoch 0
Verified signaturec14b0f4 -
End of training
Verified signaturef8ce6f0 -
Training in progress, epoch 0
Verified signature54bb537 -
End of training
Verified signature129b393 -
Training in progress, epoch 0
Verified signaturec4b61e8 -
initial commit
Verified signatureb6eaaa0