Instructions to use NoOrdinaryJoy/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NoOrdinaryJoy/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "NoOrdinaryJoy/outputs") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from NoOrdinaryJoy/outputs: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/NoOrdinaryJoy/outputs/resolve/main/training_args.bin
- Command line
-
hf download hf://NoOrdinaryJoy/outputs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/NoOrdinaryJoy/outputs/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 5b7695f37fdec234ca57c5e59a949c17ea7dfc634694040d68bb83afb6cd3d28
- Size of remote file:
- 5.37 kB
- SHA256:
- e662484350015232985d76e67c5184808c49a8dfefc0c19cd7b41c2ae193828a
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