Instructions to use microsoft/renderformer-v1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RenderFormer
How to use microsoft/renderformer-v1-base with RenderFormer:
# Install from https://github.com/microsoft/renderformer from renderformer import RenderFormerRenderingPipeline pipeline = RenderFormerRenderingPipeline.from_pretrained("microsoft/renderformer-v1-base") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name and project page URL
#1
by nielsr HF Staff - opened
This PR adds the pipeline_tag and library_name to the model card for better discoverability and clarity. The pipeline_tag is set to image-to-image reflecting the model's functionality of rendering images from triangle meshes, and library_name: pytorch is added given the model's implementation. The project page URL is added for easier access to further information about the project.
doyleconan changed pull request status to merged