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 (#1)
- Add pipeline tag and links to paper and project page (11d94b8428c81500437a6258c99589446e134e10) Co-authored-by: Niels Rogge <[email protected]>7f11111
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Document direct component loading
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Add private RenderFormer V2 component bundle
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initial commit
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