Instructions to use CocoNutZENG/Epipaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CocoNutZENG/Epipaca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("hfl/llama-3-chinese-8b-instruct") model = PeftModel.from_pretrained(base_model, "CocoNutZENG/Epipaca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d28be5f21f35c388e76a153f92a07c7abf7f704a968cbc8c1d03e132c3d6ef0e
- Size of remote file:
- 4.98 kB
- SHA256:
- df4a6bc4456b60361cbbe1479fd2d7f8c64bb7d8693fb418dc0f7a6ad0ec6818
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