Instructions to use gabrielyang/audioclassification_ko_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gabrielyang/audioclassification_ko_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="gabrielyang/audioclassification_ko_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("gabrielyang/audioclassification_ko_model") model = AutoModelForAudioClassification.from_pretrained("gabrielyang/audioclassification_ko_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from gabrielyang/audioclassification_ko_model: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/gabrielyang/audioclassification_ko_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://gabrielyang/audioclassification_ko_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gabrielyang/audioclassification_ko_model/resolve/main/pytorch_model.bin
378 MB
- Xet hash:
- 9b244b1a51cac100ab5042961b5c5f1e6f48d3b0d2d101a34f41ff0f2d89ce82
- Size of remote file:
- 378 MB
- SHA256:
- 0122756e3619e008a357b1a7b40343144aa2722e106dc4adc3fbe3d3fbbfc812
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