Instructions to use hxxris/audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hxxris/audio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="hxxris/audio")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("hxxris/audio") model = AutoModelForAudioClassification.from_pretrained("hxxris/audio", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hxxris/audio: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/hxxris/audio/resolve/main/training_args.bin
- Command line
-
hf download hf://hxxris/audio/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hxxris/audio/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- e1694467d5eb134dda3ad87182f9accb492c2471886ff8e24d705b665dbf20ce
- Size of remote file:
- 4.54 kB
- SHA256:
- 31cb1be87a02484d072968f2522409e36b4c1d707939e03e760ed6b7e0570900
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