Instructions to use sujithatz/checkpoint_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sujithatz/checkpoint_dir with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "sujithatz/checkpoint_dir") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd7af9a4f38ff2bec5f9946fcd05b060d0b9cccb31c5d5ee4e15d13b440b6514
- Size of remote file:
- 5.43 kB
- SHA256:
- 128f09edee5ebec935e582046b4486a1b9e6c63ac546255911b25d1112ea524c
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