Instructions to use RGBD-SOD/dptdepth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RGBD-SOD/dptdepth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RGBD-SOD/dptdepth", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RGBD-SOD/dptdepth", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e0a9cdd01e28721bcd07a2a63adacdd3c6f11522cfebb01814a16bbae54dbab
- Size of remote file:
- 493 MB
- SHA256:
- 545a6e1dd3258ae359ccc400e2bf0e39f7411e9a6c8f55b1e60017b47125b1ab
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