Instructions to use Sakalti/onsei-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sakalti/onsei-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sakalti/onsei-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download waveform_classifier.pt from Sakalti/onsei-1: direct link, hf CLI and curl.
- Browser
- Download file 2.22 MB
-
https://huggingface.co/Sakalti/onsei-1/resolve/main/waveform_classifier.pt
- Command line
-
hf download hf://Sakalti/onsei-1/waveform_classifier.pt
-
curl -L -o waveform_classifier.pt https://huggingface.co/Sakalti/onsei-1/resolve/main/waveform_classifier.pt
2.22 MB
- Xet hash:
- b7862e7c28ba8bad847de4e4b1c38a2a322f5fabee316d5bb5b9b4867b529c90
- Size of remote file:
- 2.22 MB
- SHA256:
- 52afb5c21322e7105ae0af58548c5008f489194c2a711eda884aa791020346ae
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