Instructions to use cragtmp/task1add3-200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1add3-200 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/task1add3-200") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 134b09034e71f2c1206956adc08509460aa2a78e0ae5bfaa5e7a2f7a126f0204
- Size of remote file:
- 14.2 kB
- SHA256:
- 7c733f603eddfbf8aea2db46dfb96d2d44052ea3c8d772ba82a9011002700581
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