Instructions to use thaffggg/2b5218d0-3e7f-4f9d-a01c-8e91d51e64d2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/2b5218d0-3e7f-4f9d-a01c-8e91d51e64d2 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, "thaffggg/2b5218d0-3e7f-4f9d-a01c-8e91d51e64d2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c246355ca354000f9cb81133e0015f2998ecf1566145c9ff6c05b47d8b3b647a
- Size of remote file:
- 6.78 kB
- SHA256:
- 2c9b9c4cc4c9fc172d933609320453184a181c2a98603ade8955cac20f8597df
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