Instructions to use Intel/dpt-beit-large-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/dpt-beit-large-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="Intel/dpt-beit-large-512")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("Intel/dpt-beit-large-512") model = AutoModelForDepthEstimation.from_pretrained("Intel/dpt-beit-large-512") - Notebooks
- Google Colab
- Kaggle
Update preprocessor_config.json
Browse files- preprocessor_config.json +1 -1
preprocessor_config.json
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"keep_aspect_ratio":
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"keep_aspect_ratio": false,
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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