Instructions to use Intel/dpt-swinv2-large-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/dpt-swinv2-large-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="Intel/dpt-swinv2-large-384")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("Intel/dpt-swinv2-large-384") model = AutoModelForDepthEstimation.from_pretrained("Intel/dpt-swinv2-large-384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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