Instructions to use apple/DepthPro-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple/DepthPro-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="apple/DepthPro-hf")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("apple/DepthPro-hf") model = AutoModelForDepthEstimation.from_pretrained("apple/DepthPro-hf") - Notebooks
- Google Colab
- Kaggle
Upload config.json with huggingface_hub
Browse files- config.json +2 -1
config.json
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"torch_dtype": "float16",
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"transformers_version": "4.47.0.dev0",
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"
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"use_fov_model": true,
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"use_swiglu_ffn": false
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}
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],
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"torch_dtype": "float16",
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"transformers_version": "4.47.0.dev0",
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"use_batch_norm_in_fusion_residual": false,
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"use_bias_in_fusion_residual": true,
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"use_fov_model": true,
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"use_swiglu_ffn": false
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}
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