Image-to-3D
Transformers
Safetensors
depth_anything_3
feature-extraction
depth-anything-3
depth-estimation
multi-view-geometry
custom_code
Instructions to use bigshanedogg/DA3-LARGE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigshanedogg/DA3-LARGE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigshanedogg/DA3-LARGE", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from bigshanedogg/DA3-LARGE: direct link, hf CLI and curl.
- Browser
- Download file 502 Bytes
-
https://huggingface.co/bigshanedogg/DA3-LARGE/resolve/main/processor_config.json
- Command line
-
hf download hf://bigshanedogg/DA3-LARGE/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/bigshanedogg/DA3-LARGE/resolve/main/processor_config.json
502 Bytes
| { | |
| "auto_map": { | |
| "AutoProcessor": "processing_depth_anything_3.DepthAnything3Processor" | |
| }, | |
| "image_processor": { | |
| "auto_map": { | |
| "AutoImageProcessor": "image_processing_depth_anything_3.DepthAnything3ImageProcessor", | |
| "AutoProcessor": "processing_depth_anything_3.DepthAnything3Processor" | |
| }, | |
| "image_processor_type": "DepthAnything3ImageProcessor", | |
| "process_res": 504, | |
| "process_res_method": "upper_bound_resize" | |
| }, | |
| "processor_class": "DepthAnything3Processor" | |
| } | |