Instructions to use cragtmp/taskgt705-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/taskgt705-50 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/taskgt705-50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a2a12d5e41f6e067b1a5f66bd9eb1a07e1d0749e137e19bfc3f317f21df960a
- Size of remote file:
- 1.06 kB
- SHA256:
- 05bd8698350835fff0c8d6f1fd752d5d3598c200e9cd3cef613baf99386ff5da
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