Instructions to use cragtmp/task1p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1p 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/task1p") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5a14987eb726896cb0af68bf3811a0d90e22dd076cfcb4ad6d068e3fe9367a4
- Size of remote file:
- 1.06 kB
- SHA256:
- ea24f55577b1d2632e3100f34e9def5c2f7a1bc9083fd6f4a51e65cc7439b6c0
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