Instructions to use Intel/dpt-large-ade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/dpt-large-ade with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Intel/dpt-large-ade")# Load model directly from transformers import AutoImageProcessor, DPTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Intel/dpt-large-ade") model = DPTForSemanticSegmentation.from_pretrained("Intel/dpt-large-ade") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#8 opened about 2 years ago
by
SFconvertbot
Update README.md
#6 opened about 2 years ago
by
Chesebrough
update some meta data, correct the code (to avoid deprecation warning)
#5 opened over 2 years ago
by
Chesebrough
two changes have to made to remove deprecation warning. DPTFeatureExtractor has to be replaced by DPTImageProcessor in two locations
#4 opened over 2 years ago
by
Chesebrough
Change usage code to avoid deprecated DPTFeatureExtractor --> DPTImageProcessor
#3 opened over 2 years ago
by
Chesebrough
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot
License appears to be MIT
#1 opened over 3 years ago
by
willu