Instructions to use simonycl/Qwen2.5-VL-7B-HumorDB-ADPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use simonycl/Qwen2.5-VL-7B-HumorDB-ADPO 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, "simonycl/Qwen2.5-VL-7B-HumorDB-ADPO") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df4c8ab50fbd565c587fd6c6f100f2aa14de938128224d65beec27169c6a753d
- Size of remote file:
- 7.76 kB
- SHA256:
- c77bf556e41b7e12bebd947558ae5acd0f10fed6c686583b138a1afd64735f99
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.