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
Download diffspec_mapper/model.safetensors from RenderFormer/renderformer-v2: direct link, hf CLI and curl.
- Browser
- Download file 75.3 kB
-
https://huggingface.co/RenderFormer/renderformer-v2/resolve/main/diffspec_mapper/model.safetensors
- Command line
-
hf download hf://RenderFormer/renderformer-v2/diffspec_mapper/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/RenderFormer/renderformer-v2/resolve/main/diffspec_mapper/model.safetensors
75.3 kB
- Xet hash:
- f6cbddfda3b1022218198173de302b394bbb5e4868156ade647b7fc11c0ab1ac
- Size of remote file:
- 75.3 kB
- SHA256:
- 2a5f05ce15a1af97769ccb830df70584156e7215f48a3feba1454e9b445fc5a5
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