Instructions to use HyperdustProtocol/HyperAuto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HyperdustProtocol/HyperAuto with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HyperdustProtocol/HyperAuto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from HyperdustProtocol/HyperAuto: direct link, hf CLI and curl.
- Browser
- Download file 160 MB
-
https://huggingface.co/HyperdustProtocol/HyperAuto/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://HyperdustProtocol/HyperAuto/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/HyperdustProtocol/HyperAuto/resolve/main/adapter_model.safetensors
160 MB
- Xet hash:
- d6bc8a4f05fb280ddbd470a4e2a4edea6508147e5d80780c2b49b9ccf635954d
- Size of remote file:
- 160 MB
- SHA256:
- ef58a5f5a4ca24f8c95319acd7c929778129e95907dad2acb293a516a5fb0dc9
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