Instructions to use rayymaxx/DirectEd-AI-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rayymaxx/DirectEd-AI-LoRA with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rayymaxx/DirectEd-AI-LoRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from rayymaxx/DirectEd-AI-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 6.16 kB
-
https://huggingface.co/rayymaxx/DirectEd-AI-LoRA/resolve/main/training_args.bin
- Command line
-
hf download hf://rayymaxx/DirectEd-AI-LoRA/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rayymaxx/DirectEd-AI-LoRA/resolve/main/training_args.bin
6.16 kB
- Xet hash:
- 7b276ece5bc485c7bcab11fe1090c5f9659e95bf07b0b32770d560ee3f08e1ef
- Size of remote file:
- 6.16 kB
- SHA256:
- b6b37da950f207ec10e24ffde6e97ff9e575c996e76fd531b2eb294ac69919b0
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