Instructions to use depth-anything/Depth-Anything-V2-Metric-Outdoor-Large-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-Large-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-Large-hf")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("depth-anything/Depth-Anything-V2-Metric-Outdoor-Large-hf") model = AutoModelForDepthEstimation.from_pretrained("depth-anything/Depth-Anything-V2-Metric-Outdoor-Large-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d410c72e7133fd4ac50f78cd1b9cd6e9198bcc00cd93a270f28d19669c1d256
- Size of remote file:
- 1.34 GB
- SHA256:
- 15f7de4b22f1b1194847ea694ee9ed6395563ba5cd52b70b87901f183c232c9a
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