Instructions to use cragtmp/task1add3-300valid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1add3-300valid 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/task1add3-300valid") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4ddb81f863015f4ba4a6a0a8000f2f67cda7fd100739d4434d65cc795b8a224
- Size of remote file:
- 1.06 kB
- SHA256:
- 262f92b2ee1bf3c864d8a71412d39862a24911c206fcc016b4197084dca66540
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.