Instructions to use Intel/dpt-hybrid-midas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/dpt-hybrid-midas with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="Intel/dpt-hybrid-midas")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("Intel/dpt-hybrid-midas") model = AutoModelForDepthEstimation.from_pretrained("Intel/dpt-hybrid-midas") - Notebooks
- Google Colab
- Kaggle
📋 Documentation Enhancement Suggestion
#9 opened 3 months ago
by
CroviaTrust
Adding `safetensors` variant of this model
#8 opened about 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#7 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#5 opened about 2 years ago
by
SFconvertbot
what is the metric used for output
2
#4 opened about 3 years ago
by
FaisalHejary