Depth Estimation
Transformers
Safetensors
depth_anything_v1
feature-extraction
depth-anything
custom_code
Instructions to use bigshanedogg/Depth-Anything-V1-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigshanedogg/Depth-Anything-V1-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="bigshanedogg/Depth-Anything-V1-Large", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigshanedogg/Depth-Anything-V1-Large", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from bigshanedogg/Depth-Anything-V1-Large: direct link, hf CLI and curl.
- Browser
- Download file 461 Bytes
-
https://huggingface.co/bigshanedogg/Depth-Anything-V1-Large/resolve/main/processor_config.json
- Command line
-
hf download hf://bigshanedogg/Depth-Anything-V1-Large/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/bigshanedogg/Depth-Anything-V1-Large/resolve/main/processor_config.json
461 Bytes
| { | |
| "auto_map": { | |
| "AutoProcessor": "processing_depth_anything_v1.DepthAnythingV1Processor" | |
| }, | |
| "image_processor": { | |
| "auto_map": { | |
| "AutoImageProcessor": "image_processing_depth_anything_v1.DepthAnythingV1ImageProcessor", | |
| "AutoProcessor": "processing_depth_anything_v1.DepthAnythingV1Processor" | |
| }, | |
| "image_processor_type": "DepthAnythingV1ImageProcessor", | |
| "input_size": 518 | |
| }, | |
| "processor_class": "DepthAnythingV1Processor" | |
| } | |