Instructions to use thakkkkkk/ff3ea461-d7f9-41be-9f0f-748f15b70fc4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thakkkkkk/ff3ea461-d7f9-41be-9f0f-748f15b70fc4 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, "thakkkkkk/ff3ea461-d7f9-41be-9f0f-748f15b70fc4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f1ed8d307415162236f200cfb41c9bb49eaa9c97caa5be4d0e76ed8eb4073d6
- Size of remote file:
- 84 MB
- SHA256:
- 7f41f54da2027cdd5927073840092e96d4140130db380e252918bec8fdfd1e75
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