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 .gitattributes from KETI-NLP/KoEVD-response-strategy: direct link, hf CLI and curl.
- Browser
- Download file 208 Bytes
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https://huggingface.co/KETI-NLP/KoEVD-response-strategy/resolve/main/.gitattributes
- Command line
-
hf download hf://KETI-NLP/KoEVD-response-strategy/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/KETI-NLP/KoEVD-response-strategy/resolve/main/.gitattributes
208 Bytes
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| *.jsonl filter=lfs diff=lfs merge=lfs -text | |
| review_fp16/tokenizer.json filter=lfs diff=lfs merge=lfs -text | |
| tokenizer.json filter=lfs diff=lfs merge=lfs -text | |