Instructions to use cragtmp/task1add3-350public with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1add3-350public 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/task1add3-350public") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b3807dc562f8d770d64f204b1954b3350a26dda03865ce68f4562c17b74d504
- Size of remote file:
- 8.7 kB
- SHA256:
- 7d5483f64f7f357da1c2d3fe8ff0dfc77973d5acbab5df294bd2df9dcf5b9b7d
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