Depth Estimation
Transformers
Safetensors
video_depth_anything
feature-extraction
video-depth-anything
video
custom_code
Instructions to use bigshanedogg/Video-Depth-Anything-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigshanedogg/Video-Depth-Anything-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="bigshanedogg/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/Video-Depth-Anything-Base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 681 Bytes
5555f5e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | {
"architectures": [
"VideoDepthAnythingForDepthEstimation"
],
"auto_map": {
"AutoConfig": "configuration_video_depth_anything.VideoDepthAnythingConfig",
"AutoModel": "modeling_video_depth_anything.VideoDepthAnythingForDepthEstimation",
"AutoModelForDepthEstimation": "modeling_video_depth_anything.VideoDepthAnythingForDepthEstimation"
},
"dtype": "float32",
"encoder": "vitb",
"features": 128,
"input_size": 518,
"metric": false,
"model_type": "video_depth_anything",
"num_frames": 32,
"out_channels": [
96,
192,
384,
768
],
"pe": "ape",
"transformers_version": "5.20.2",
"use_bn": false,
"use_clstoken": false
}
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