Instructions to use cragtmp/dpo50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/dpo50 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data1/chenjiazun/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "cragtmp/dpo50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1d544ce10283cbc45824cd428298acb53aa37e32a94c3c524b1cf04704a4fb4
- Size of remote file:
- 1.06 kB
- SHA256:
- 9d416e0861839fe1f3ba4ec2975238b5821cd864719a4325192655fc1975b462
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