Instructions to use VERSIL91/f4e02f87-283f-4a93-b31d-dc93f7273bad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/f4e02f87-283f-4a93-b31d-dc93f7273bad with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/polyglot-ko-12.8b-safetensors") model = PeftModel.from_pretrained(base_model, "VERSIL91/f4e02f87-283f-4a93-b31d-dc93f7273bad") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/f4e02f87-283f-4a93-b31d-dc93f7273bad: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/f4e02f87-283f-4a93-b31d-dc93f7273bad/resolve/main/training_args.bin
- Command line
-
hf download hf://VERSIL91/f4e02f87-283f-4a93-b31d-dc93f7273bad/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/f4e02f87-283f-4a93-b31d-dc93f7273bad/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 0daefbd01adec0202fe6b74222eede539d3b0b94ae3a090163f15b979d16c791
- Size of remote file:
- 6.78 kB
- SHA256:
- 2843e4372cb946258c2f02e6f04ad4c32ff1fed4885d0db3e7216bbbe47e2d96
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