Instructions to use demohong/8a5a4f91-ec8d-4fb5-8a50-e5b1c53f0cf9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use demohong/8a5a4f91-ec8d-4fb5-8a50-e5b1c53f0cf9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lcw99/zephykor-ko-7b-chang") model = PeftModel.from_pretrained(base_model, "demohong/8a5a4f91-ec8d-4fb5-8a50-e5b1c53f0cf9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90a280a2afe08128fb1df9485d4580b852a7a57aac35a0d7a7b6f0bb2ad30720
- Size of remote file:
- 6.78 kB
- SHA256:
- 1320ad9f8f423284f692f60e21ea9b31bbf783cb8f1334f4df3b24868b0e831d
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