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 material_autoencoder/model.safetensors from RenderFormer/renderformer-v2: direct link, hf CLI and curl.
- Browser
- Download file 144 MB
-
https://huggingface.co/RenderFormer/renderformer-v2/resolve/main/material_autoencoder/model.safetensors
- Command line
-
hf download hf://RenderFormer/renderformer-v2/material_autoencoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/RenderFormer/renderformer-v2/resolve/main/material_autoencoder/model.safetensors
144 MB
- Xet hash:
- f728597ee7c09014879ba35c7e891f8eccaa321dd103af333afdd52f6d0e8645
- Size of remote file:
- 144 MB
- SHA256:
- 859fd025f02c7a30d430fb19551f8f1c4fed550f37553b175e8205ef9cd09e2d
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