Instructions to use cragtmp/task3f2-700 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-700 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/task3f2-700") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09f27fc4eb335a4f03c9fe9bba571ab607b0d7ea6030324d6787538f4a8c70aa
- Size of remote file:
- 1.06 kB
- SHA256:
- 3b12661baba5579e521551f81da7026a0f55ae5214af2f8a4014acf8a3874759
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.