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
Fix code highlighting (#2)
Browse files- Fix code highlighting (fe70bcd29f08b849cc47d2bd2822e76beda5ea17)
Co-authored-by: Joshua <Xenova@users.noreply.huggingface.co>
README.md
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### Use with Transformers
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```
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from transformers import AutoImageProcessor, DPTForDepthEstimation
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import torch
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import numpy as np
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### Use with Transformers
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```python
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from transformers import AutoImageProcessor, DPTForDepthEstimation
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import torch
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import numpy as np
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