Instructions to use cragtmp/task1-noikd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1-noikd 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/task1-noikd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5437c045c4963873335eaa317d65b88fdbc4d80af20f848b71d255cbeccb12f
- Size of remote file:
- 14.2 kB
- SHA256:
- 5e025d9b96f100deeb2cc7ecb6d31a9a26e209834b96fdc309b3fe8babf80ec8
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