Instructions to use facebook/dpt-dinov2-base-kitti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dpt-dinov2-base-kitti with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="facebook/dpt-dinov2-base-kitti")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("facebook/dpt-dinov2-base-kitti") model = AutoModelForDepthEstimation.from_pretrained("facebook/dpt-dinov2-base-kitti") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:28eef02c9c57410ba05a0b00bddc3cdadcf0ca3d6cfd0228fd433607dc169d6b
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size 447849116
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