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 AutoModel model = AutoModel.from_pretrained("Intel/dpt-hybrid-midas", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
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by ybelkada - opened
- config.json +0 -1
config.json
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"embedding_type": "hybrid",
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"fusion_hidden_size": 256,
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"head_in_index": -1,
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"hidden_act": "gelu",
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"fusion_hidden_size": 256,
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"head_in_index": -1,
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"hidden_act": "gelu",
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