Instructions to use LiheYoung/depth_anything_vits14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiheYoung/depth_anything_vits14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="LiheYoung/depth_anything_vits14")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LiheYoung/depth_anything_vits14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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by nielsr HF Staff - opened
README.md
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tags:
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- depth_anything
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- depth-estimation
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# Depth Anything model, small
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library_name: UniDepth
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tags:
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- depth_anything
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- depth-estimation
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- monocular-metric-depth-estimation
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- pytorch_model_hub_mixin
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- model_hub_mixin
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repo_url: https://github.com/lpiccinelli-eth/UniDepth
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---
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# Depth Anything model, small
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