Instructions to use zhyever/patchfusion_depth_anything_vitl14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhyever/patchfusion_depth_anything_vitl14 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zhyever/patchfusion_depth_anything_vitl14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8cf7ab1e5dd69e05d766d5a2027cc7d7bd25bf4ce66ef42fd8e7458014dcff0
- Size of remote file:
- 3.06 GB
- SHA256:
- 756398ef543adbd63cf4bf24bdcbc61980dc8f7b25d346e14f663d46ef45f752
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