Instructions to use Cookieeeeeeeeeeeeeee/llama_custom_zero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Cookieeeeeeeeeeeeeee/llama_custom_zero with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "Cookieeeeeeeeeeeeeee/llama_custom_zero") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Cookieeeeeeeeeeeeeee/llama_custom_zero: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/Cookieeeeeeeeeeeeeee/llama_custom_zero/resolve/main/training_args.bin
- Command line
-
hf download hf://Cookieeeeeeeeeeeeeee/llama_custom_zero/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Cookieeeeeeeeeeeeeee/llama_custom_zero/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 47e9ea097bfde6cc91fac6152f7907ab39ffcd903ad2ee542078edf1eed1edba
- Size of remote file:
- 5.43 kB
- SHA256:
- c6460d2db6185089ab8743029350a5e836877579d72020f01d6ed59a9647055e
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