Instructions to use cragtmp/task05rd2-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task05rd2-300 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/task05rd2-300") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b0f6a7f969c598c6960f9a63534c2d5086018c221fe7d242e21ecb91eb73e8d
- Size of remote file:
- 1.06 kB
- SHA256:
- 4929a3bd063b81bc9d8d0c1cb70e08c0431796bbab16255827ae1330973ff693
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