Instructions to use justinsoberano/depth-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use justinsoberano/depth-ai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="justinsoberano/depth-ai")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("justinsoberano/depth-ai") model = AutoModelForDepthEstimation.from_pretrained("justinsoberano/depth-ai") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea13fd1d7c076e1a5bdb586e45e0cb760b27cf754dab5ec051c04e6898785184
- Size of remote file:
- 245 MB
- SHA256:
- c353b12e5f4e5fafd0053d1c19bf60dfb1562b74db4728c6920a2cf44782b603
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