Instructions to use depth-anything/Depth-Anything-V2-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-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-Small-hf")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("depth-anything/Depth-Anything-V2-Small-hf") model = AutoModelForDepthEstimation.from_pretrained("depth-anything/Depth-Anything-V2-Small-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Change organization to depth-anything (#1)
Verified signature- Change organization to depth-anything (b4769fd619394250528294b658587285526fab1c)5426e4f
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Fix yaml
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Depth Anything V2 Small (Transformers version)
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initial commit
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