Instructions to use cragtmp/task05rd2-500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task05rd2-500 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/task05rd2-500") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67fed1485ab30a073c409f8863cac2f190b91ac49d989dacc05d84e2d7d9f094
- Size of remote file:
- 1.06 kB
- SHA256:
- fa52ca36435605e32d9b572166e7f72fbdefe7cfd3e6a2545f1430435f81a7b7
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