Instructions to use thangla01/28f933bb-d77a-4e6e-a6ca-22fb9dde5b3f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thangla01/28f933bb-d77a-4e6e-a6ca-22fb9dde5b3f 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, "thangla01/28f933bb-d77a-4e6e-a6ca-22fb9dde5b3f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ae27c90cf99cceed4ff7785cac73fa77944550965518a53a5c6e10bc493d6ad
- Size of remote file:
- 83.9 MB
- SHA256:
- b80902a8c6730ff283c56e703178e4be9e281b5313a1907b134b2895f34f7529
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