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 head_a/pytorch_model_head.bin from calpt/random_adapter_setup_test: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/calpt/random_adapter_setup_test/resolve/main/head_a/pytorch_model_head.bin
- Command line
-
hf download hf://calpt/random_adapter_setup_test/head_a/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/calpt/random_adapter_setup_test/resolve/main/head_a/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 381d89cc22f5496bb5ffebe92caaccdb0d9986e674655cea18dfe6b2689abe06
- Size of remote file:
- 2.37 MB
- SHA256:
- 8516d68908fffa96a06f04777599c35d9db33f4d1e36b8b33e74172688232987
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