Instructions to use philippkolbe/huggingface with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use philippkolbe/huggingface with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "philippkolbe/huggingface") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 406fb526b5ca519d781f724373508c35196c14bbf807879f2ece4286f4cb88a1
- Size of remote file:
- 4.73 kB
- SHA256:
- 37b7cbd00f59238ae76e141dba3873b56fcdf5eb6bfd6ff27b1b31a889892709
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