Instructions to use phi0108/audio_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phi0108/audio_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="phi0108/audio_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("phi0108/audio_classification") model = AutoModelForAudioClassification.from_pretrained("phi0108/audio_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from phi0108/audio_classification: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/phi0108/audio_classification/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://phi0108/audio_classification@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/phi0108/audio_classification/resolve/refs%2Fpr%2F1/training_args.bin
3.58 kB
- Xet hash:
- e6ef073e527ba222bd7ac2300d42aa30fe90f42dd7c10d3e1ae1fa92880efb03
- Size of remote file:
- 3.58 kB
- SHA256:
- 38cbb409b8d70459c2be15f8c59299c9cbab306d0bd2817994c6581d1daf3b9c
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