Instructions to use Cvwisework/qwen2.5-7b-passport_e1_train-testtrained_annotated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Cvwisework/qwen2.5-7b-passport_e1_train-testtrained_annotated with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Cvwisework/qwen2.5-7b-passport_e1_train-testtrained_annotated") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 271b04d7c5443c697931b62dab84dc17c0cc93da5e41225fb185ed0572c87f79
- Size of remote file:
- 10.1 MB
- SHA256:
- f4eae63e4eed11323357f5461738c93b55b4c43ce3403e5e67b3c8719d229ad6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.