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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RenderFormer/renderformer-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download material_autoencoder/config.json from RenderFormer/renderformer-v2: direct link, hf CLI and curl.
- Browser
- Download file 66 Bytes
-
https://huggingface.co/RenderFormer/renderformer-v2/resolve/main/material_autoencoder/config.json
- Command line
-
hf download hf://RenderFormer/renderformer-v2/material_autoencoder/config.json
-
curl -L -o config.json https://huggingface.co/RenderFormer/renderformer-v2/resolve/main/material_autoencoder/config.json
66 Bytes
| { | |
| "image_channels": 3, | |
| "image_size": 256, | |
| "latent_dim": 9 | |
| } | |