Instructions to use anforsm/3DEM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anforsm/3DEM with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anforsm/3DEM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from anforsm/3DEM: direct link, hf CLI and curl.
- Browser
- Download file 1.36 kB
-
https://huggingface.co/anforsm/3DEM/resolve/main/config.json
- Command line
-
hf download hf://anforsm/3DEM/config.json
-
curl -L -o config.json https://huggingface.co/anforsm/3DEM/resolve/main/config.json
1.36 kB
| { | |
| "hf_path": "anforsm/3DEM", | |
| "hyperparameters": { | |
| "downsample_factors": [ | |
| [ | |
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| ], | |
| "fmap_inc_factor": 5, | |
| "in_channels": 1, | |
| "kernel_size_down": [ | |
| [ | |
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| "kernel_size_up": [ | |
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| ], | |
| "output_shapes": [ | |
| 3 | |
| ] | |
| }, | |
| "name": "3D Model", | |
| "path": "out" | |
| } |