Instructions to use RenderFormer/renderformer-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RenderFormer/renderformer-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RenderFormer/renderformer-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add pipeline tag and links to paper and project page
Verified signatureThis PR adds the missing `pipeline_tag: other` to the metadata so the model is categorized correctly on the Hub. It also adds direct links to the paper and the project page for better discoverability. No other changes are made to the existing card.11d94b8
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Document direct component loading
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Add private RenderFormer V2 component bundle
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