Instructions to use msonali/Depth-Anything-V2-Metric-Indoor-Small-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msonali/Depth-Anything-V2-Metric-Indoor-Small-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="msonali/Depth-Anything-V2-Metric-Indoor-Small-hf")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("msonali/Depth-Anything-V2-Metric-Indoor-Small-hf") model = AutoModelForDepthEstimation.from_pretrained("msonali/Depth-Anything-V2-Metric-Indoor-Small-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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