Instructions to use jcwang0602/MLLMSeg_InternVL2_5_8B_GRES with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jcwang0602/MLLMSeg_InternVL2_5_8B_GRES with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="jcwang0602/MLLMSeg_InternVL2_5_8B_GRES", trust_remote_code=True)# Load model directly from transformers import MLLMSeg model = MLLMSeg.from_pretrained("jcwang0602/MLLMSeg_InternVL2_5_8B_GRES", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Demo
#2
by merve - opened
Hello! Would you like to build a demo for one of the models in the release, we can provide a Zero grant since this is a very interesting model!
Thank you very much. However, I am currently occupied with other matters. I will write a Demo as soon as possible and make it public.