Instructions to use vinvino02/glpn-kitti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinvino02/glpn-kitti with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="vinvino02/glpn-kitti")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("vinvino02/glpn-kitti") model = AutoModelForDepthEstimation.from_pretrained("vinvino02/glpn-kitti") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f06fdb1fe9711a293a82b5cde4f6aff4e9a056ec1973c4cc0527d0b1953a6267
- Size of remote file:
- 245 MB
- SHA256:
- dbb5f777e542329280f1decc1bd090f8f770e770dca6fc4407c865abcef7e84f
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