Instructions to use olzlt/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use olzlt/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/llama-2-ko-7b") model = PeftModel.from_pretrained(base_model, "olzlt/results") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from olzlt/results: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/olzlt/results/resolve/main/training_args.bin
- Command line
-
hf download hf://olzlt/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/olzlt/results/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 5d9621557bca22aae44ff2559675a0bc430666d35d886c4744bf3872b5302b75
- Size of remote file:
- 4.66 kB
- SHA256:
- c83a4a409834bc1a2f8676b74f1ba32eaac73c52af526841782c263c343c5ea4
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