Instructions to use apple/DepthPro-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple/DepthPro-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="apple/DepthPro-hf")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("apple/DepthPro-hf") model = AutoModelForDepthEstimation.from_pretrained("apple/DepthPro-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/depth_pro_training_hyper_parameters.png from apple/DepthPro-hf: direct link, hf CLI and curl.
- Browser
- Download file 165 kB
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https://huggingface.co/apple/DepthPro-hf/resolve/main/assets/depth_pro_training_hyper_parameters.png
- Command line
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hf download hf://apple/DepthPro-hf/assets/depth_pro_training_hyper_parameters.png
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curl -L -o depth_pro_training_hyper_parameters.png https://huggingface.co/apple/DepthPro-hf/resolve/main/assets/depth_pro_training_hyper_parameters.png
165 kB
