Instructions to use calpt/random_adapter_setup_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use calpt/random_adapter_setup_test with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("calpt/random_adapter_setup_test", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download b/pytorch_adapter.bin from calpt/random_adapter_setup_test: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/calpt/random_adapter_setup_test/resolve/main/b/pytorch_adapter.bin
- Command line
-
hf download hf://calpt/random_adapter_setup_test/b/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/calpt/random_adapter_setup_test/resolve/main/b/pytorch_adapter.bin
3.59 MB
- Xet hash:
- 4060945de749a2e95191c805b469643f4a50ec36c85a0562c46bc7945fd08dd2
- Size of remote file:
- 3.59 MB
- SHA256:
- 59155aac6aa69c72d6fae6ae4cabc0c27ac3b1473f52c1023965042ae24521c1
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