Instructions to use yfh/audio_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yfh/audio_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="yfh/audio_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("yfh/audio_classification") model = AutoModelForAudioClassification.from_pretrained("yfh/audio_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yfh/audio_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/yfh/audio_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://yfh/audio_classification/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/yfh/audio_classification/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- f6b08debcd89de6a9c2a9c91a802bd70b5b9e663ff72b8f1fd9399612f0f590c
- Size of remote file:
- 4.09 kB
- SHA256:
- d4c9c975f6d872b68d520f81fa90ededf2e691d3002c6324ebc38221ef27aa90
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