Instructions to use hansin91/audio_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hansin91/audio_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="hansin91/audio_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("hansin91/audio_classification") model = AutoModelForAudioClassification.from_pretrained("hansin91/audio_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hansin91/audio_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/hansin91/audio_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://hansin91/audio_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hansin91/audio_classification/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- b0a88b733bd44ba0bbb8e2180de212d36fa7049ce4892b5dacfb30580389c281
- Size of remote file:
- 4.09 kB
- SHA256:
- 740e0719b54507e5756d512e6e9a88be95f40fd9c02567207c46541dfc7fc69d
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