Instructions to use maedehm02/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use maedehm02/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/codegemma-7b") model = PeftModel.from_pretrained(base_model, "maedehm02/outputs") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from maedehm02/outputs: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/maedehm02/outputs/resolve/main/training_args.bin
- Command line
-
hf download hf://maedehm02/outputs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/maedehm02/outputs/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 6d2d41b014fc368bc29888d36b516a02be81638999c280d8239f9c44239280a7
- Size of remote file:
- 4.92 kB
- SHA256:
- 2fe6c953814a8e19b9711a48bf7b0a61a5cd2b99748a94bc95d88c6d162a0ee1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.