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 c/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/c/pytorch_adapter.bin
- Command line
-
hf download hf://calpt/random_adapter_setup_test/c/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/calpt/random_adapter_setup_test/resolve/main/c/pytorch_adapter.bin
3.59 MB
- Xet hash:
- 7335079d1436314da27373c1c3bba6b4a0ad30f9a6e983883ab41ee1ac9d689e
- Size of remote file:
- 3.59 MB
- SHA256:
- cae3b805ce309fc7cf7e833a3d50c8ab215439a6ca843aaa1e4931834df8608f
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