Instructions to use chauhoang/7f7ebf28-df62-4f63-955b-c69fdddb1347 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/7f7ebf28-df62-4f63-955b-c69fdddb1347 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "chauhoang/7f7ebf28-df62-4f63-955b-c69fdddb1347") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06eb2d98a56313e04e5835b444f9f08d5df77aa59f02ed0fda9498d7cc7105d5
- Size of remote file:
- 6.78 kB
- SHA256:
- c5abb7f141394dc1cc3f138cce7d754151e3f9f203f70208afddcf55be84d21b
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