Instructions to use depth-anything/prompt-depth-anything-vitl-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use depth-anything/prompt-depth-anything-vitl-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="depth-anything/prompt-depth-anything-vitl-hf")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("depth-anything/prompt-depth-anything-vitl-hf") model = AutoModelForDepthEstimation.from_pretrained("depth-anything/prompt-depth-anything-vitl-hf") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21f92a75d81283fb306359fcde122d6a8fa1dd241700ffc42d7c6ffaee6bc587
- Size of remote file:
- 1.36 GB
- SHA256:
- 310a5a399691a1f56d1bc994a7463d626aef33d99d0949b954858434d0de3160
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