Instructions to use cragtmp/task0.5rd2-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task0.5rd2-150 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/task0.5rd2-150") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6895480dd874a7ffac460c576b53e633057ffa298c40cb06c28de7b195f288cc
- Size of remote file:
- 1.06 kB
- SHA256:
- 144a71cf3ee27ab02ab4817315e219784a2027923546fabe822e1b16d032b3df
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