Instructions to use JesseLiu/llama32_ReMeDi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JesseLiu/llama32_ReMeDi with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "JesseLiu/llama32_ReMeDi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a35cd18c0edd330dc21ad001e6a857949ae3beb027c313f42a2558fdc917e66
- Size of remote file:
- 5.37 kB
- SHA256:
- 11183b22bd363cfae6439ec63f2540d770e5de07fb871e77855e1ce40a5587c8
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