Instructions to use Anguuuuus/ipad-sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anguuuuus/ipad-sample with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Anguuuuus/ipad-sample")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Anguuuuus/ipad-sample") model = AutoModelForAudioClassification.from_pretrained("Anguuuuus/ipad-sample", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Anguuuuus/ipad-sample: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/Anguuuuus/ipad-sample/resolve/f9293bd2fcdfc2cc8a1bcbee801e13601cea5ffa/training_args.bin
- Command line
-
hf download hf://Anguuuuus/ipad-sample@f9293bd2fcdfc2cc8a1bcbee801e13601cea5ffa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Anguuuuus/ipad-sample/resolve/f9293bd2fcdfc2cc8a1bcbee801e13601cea5ffa/training_args.bin
4.92 kB
- Xet hash:
- cf27539e2607dc146d267db86c6adf97f4762e4fdd10faa8e8ed9351df60dbb0
- Size of remote file:
- 4.92 kB
- SHA256:
- 6bbcaa30d850bd04211db2ef1efe59934625a40c94bdb7b2708d510d6d13792d
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