Instructions to use LiheYoung/depth-anything-small-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiheYoung/depth-anything-small-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="LiheYoung/depth-anything-small-hf")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("LiheYoung/depth-anything-small-hf") model = AutoModelForDepthEstimation.from_pretrained("LiheYoung/depth-anything-small-hf") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffcddabb653b49ca650ee28beae4571b644140d19144a3cd93632267d62a76cf
- Size of remote file:
- 99.2 MB
- SHA256:
- 7997c812d8964a741eec21e6816ec2db1e442b5109ea2e7db26dcb03c9060ef0
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