Instructions to use Intel/dpt-beit-large-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/dpt-beit-large-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="Intel/dpt-beit-large-384")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("Intel/dpt-beit-large-384") model = AutoModelForDepthEstimation.from_pretrained("Intel/dpt-beit-large-384") - Notebooks
- Google Colab
- Kaggle
Update README.md
#2
by Chesebrough - opened
Derived 384 variant from 512 variant. Much more complete model card described here with working code examples
Derived this 384 variant from the 512 variant with much more complete model card information and working code examples
Chesebrough changed pull request status to closed