Instructions to use Frostie08/Luma-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Frostie08/Luma-Instruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Frostie08/Luma-Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from Frostie08/Luma-Instruct: direct link, hf CLI and curl.
- Browser
- Download file 6.35 kB
-
https://huggingface.co/Frostie08/Luma-Instruct/resolve/main/training_args.bin
- Command line
-
hf download hf://Frostie08/Luma-Instruct/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Frostie08/Luma-Instruct/resolve/main/training_args.bin
6.35 kB
- Xet hash:
- 7d3c6df4b6e595b4c8c07d02ad262c53e907c3a65b33becf92a096fca1ad4393
- Size of remote file:
- 6.35 kB
- SHA256:
- f95740a50d2cd3787181e7e32f41f3ac02d4ef04f78f7e3c3e79042dded0115d
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