Instructions to use juniorjukeko/audio-class-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juniorjukeko/audio-class-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="juniorjukeko/audio-class-minds14")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("juniorjukeko/audio-class-minds14") model = AutoModelForAudioClassification.from_pretrained("juniorjukeko/audio-class-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from juniorjukeko/audio-class-minds14: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/juniorjukeko/audio-class-minds14/resolve/main/training_args.bin
- Command line
-
hf download hf://juniorjukeko/audio-class-minds14/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/juniorjukeko/audio-class-minds14/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- f7bed905340ac2ff58bf9d3d72a442bf36ddac3a968f97566a5a5299652a06cb
- Size of remote file:
- 4.03 kB
- SHA256:
- f9b677b7943edfaf0b326090e208206242418a45d1bab47a84f10988ed9f4bdd
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