Instructions to use KETI-NLP/KoEVD-response-strategy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KETI-NLP/KoEVD-response-strategy with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "KETI-NLP/KoEVD-response-strategy") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from KETI-NLP/KoEVD-response-strategy: direct link, hf CLI and curl.
- Browser
- Download file 175 MB
-
https://huggingface.co/KETI-NLP/KoEVD-response-strategy/resolve/0ec5aa8659e34cd41ee97e31c1dddb1681aa098f/adapter_model.safetensors
- Command line
-
hf download hf://KETI-NLP/KoEVD-response-strategy@0ec5aa8659e34cd41ee97e31c1dddb1681aa098f/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/KETI-NLP/KoEVD-response-strategy/resolve/0ec5aa8659e34cd41ee97e31c1dddb1681aa098f/adapter_model.safetensors
175 MB
- Xet hash:
- 9602d1436ffd8809e1c9ff58345a497fababaf5a68f89225627bea85cb59ec08
- Size of remote file:
- 175 MB
- SHA256:
- 9d8f98865f96c50f8b247dfaa9716e1c2a39b012f8cfffd7937000b8a21edb98
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