Instructions to use JasonYan777/llama-3.2-1b-instruct-dpo-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JasonYan777/llama-3.2-1b-instruct-dpo-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "JasonYan777/llama-3.2-1b-instruct-dpo-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9059891cbf4b26797666de6fd8dd66c5f51020a0af7c53ce7f8b2cd2a000453
- Size of remote file:
- 6.8 kB
- SHA256:
- 0f017dfbe604c3499f38a9e4bacd177dfe047773e4738bdcf687fc140101af99
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