Instructions to use JosephLee/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JosephLee/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "JosephLee/results") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JosephLee/results: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/JosephLee/results/resolve/main/training_args.bin
- Command line
-
hf download hf://JosephLee/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JosephLee/results/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 7ec96256dfa7a3205fe104f42d3ac05476bf54f41b03eba3481f9c119768ef77
- Size of remote file:
- 5.3 kB
- SHA256:
- cb279f692c76b2f945f712d583efef02434fc054de67513a8ba7a38c89c99123
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