Instructions to use OnAnOrange/LLaDA-8B-Instruct-s1k-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OnAnOrange/LLaDA-8B-Instruct-s1k-sft with PEFT:
Task type is invalid.
- Transformers
How to use OnAnOrange/LLaDA-8B-Instruct-s1k-sft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OnAnOrange/LLaDA-8B-Instruct-s1k-sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from OnAnOrange/LLaDA-8B-Instruct-s1k-sft: direct link, hf CLI and curl.
- Browser
- Download file 6.97 kB
-
https://huggingface.co/OnAnOrange/LLaDA-8B-Instruct-s1k-sft/resolve/main/training_args.bin
- Command line
-
hf download hf://OnAnOrange/LLaDA-8B-Instruct-s1k-sft/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/OnAnOrange/LLaDA-8B-Instruct-s1k-sft/resolve/main/training_args.bin
6.97 kB
- Xet hash:
- 8fa48b720b15fbec3542a64403c47bd06e623da650a5310cdd4fa9bd23c5dad7
- Size of remote file:
- 6.97 kB
- SHA256:
- b87ab021a0c96fdda07a77986ef9576b0954a289f84aa0c75b59465007145f9e
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