Instructions to use 012shin/koalphaca_savepoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 012shin/koalphaca_savepoint with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/KoAlpaca-Polyglot-5.8B") model = PeftModel.from_pretrained(base_model, "012shin/koalphaca_savepoint") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from 012shin/koalphaca_savepoint: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/012shin/koalphaca_savepoint/resolve/main/training_args.bin
- Command line
-
hf download hf://012shin/koalphaca_savepoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/012shin/koalphaca_savepoint/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 7eac1a79f7710c40a8ded5ed965a38d129bf6beefe22333528d3057e41d71dad
- Size of remote file:
- 5.18 kB
- SHA256:
- 818cabfc6d38c1ed271f1477a2a657c812e4479fd56fe224b248f0e25aea9df4
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