Instructions to use xingyang1/Distill-Any-Depth-Small-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xingyang1/Distill-Any-Depth-Small-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="xingyang1/Distill-Any-Depth-Small-hf")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("xingyang1/Distill-Any-Depth-Small-hf") model = AutoModelForDepthEstimation.from_pretrained("xingyang1/Distill-Any-Depth-Small-hf") - Notebooks
- Google Colab
- Kaggle
Upload model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e8233b90eb00ebe71ee6ebba3a7dc1cfe5b5ac0fe11d45069d19bcb4e4ff660
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