Depth Estimation
Transformers
Safetensors
video_depth_anything
feature-extraction
video-depth-anything
video
custom_code
Instructions to use bigshanedogg/Metric-Video-Depth-Anything-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigshanedogg/Metric-Video-Depth-Anything-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="bigshanedogg/Metric-Video-Depth-Anything-Base", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigshanedogg/Metric-Video-Depth-Anything-Base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 485 Bytes
f258387 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"auto_map": {
"AutoProcessor": "processing_video_depth_anything.VideoDepthAnythingProcessor"
},
"image_processor": {
"auto_map": {
"AutoImageProcessor": "image_processing_video_depth_anything.VideoDepthAnythingImageProcessor",
"AutoProcessor": "processing_video_depth_anything.VideoDepthAnythingProcessor"
},
"image_processor_type": "VideoDepthAnythingImageProcessor",
"input_size": 518
},
"processor_class": "VideoDepthAnythingProcessor"
}
|