Instructions to use depth-anything/Depth-Anything-V2-Metric-Outdoor-Small-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use depth-anything/Depth-Anything-V2-Metric-Outdoor-Small-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="depth-anything/Depth-Anything-V2-Metric-Outdoor-Small-hf")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("depth-anything/Depth-Anything-V2-Metric-Outdoor-Small-hf") model = AutoModelForDepthEstimation.from_pretrained("depth-anything/Depth-Anything-V2-Metric-Outdoor-Small-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b8a538a409f1740464465913f20fca907d5af67523aa097ce03ec9e943ee18f
- Size of remote file:
- 99.2 MB
- SHA256:
- ad065c77a7421ca55159a1f0db9433397a607690f2d76bb8a6fc54b1be7a3124
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