Instructions to use nielsr/dpt-large-redesign with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/dpt-large-redesign with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="nielsr/dpt-large-redesign")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("nielsr/dpt-large-redesign") model = AutoModelForDepthEstimation.from_pretrained("nielsr/dpt-large-redesign", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Size of remote file:
- 1.37 GB
- SHA256:
- cb8afec40e3a5d21c59a0bc56c3bf8ddecfe27748c8c9eeaa32476a8788b8ebe
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