Instructions to use facebook/PE-Spatial-L14-448 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PerceptionEncoder
How to use facebook/PE-Spatial-L14-448 with PerceptionEncoder:
# Use any PE model as a vision encoder import core.vision_encoder.pe as pe model = pe.VisionTransformer.from_config("facebook/PE-Spatial-L14-448", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download PE-Spatial-L14-448.pt from facebook/PE-Spatial-L14-448: direct link, hf CLI and curl.
- Browser
- Download file 1.22 GB
-
https://huggingface.co/facebook/PE-Spatial-L14-448/resolve/main/PE-Spatial-L14-448.pt
- Command line
-
hf download hf://facebook/PE-Spatial-L14-448/PE-Spatial-L14-448.pt
-
curl -L -o PE-Spatial-L14-448.pt https://huggingface.co/facebook/PE-Spatial-L14-448/resolve/main/PE-Spatial-L14-448.pt
1.22 GB
- Xet hash:
- 27f1eb46d7e7bbc990f38fc8ee7d5690d722299413cbaf25d53c9164421dbd59
- Size of remote file:
- 1.22 GB
- SHA256:
- 47fc1657db08e44f8202b4c1190680a86bbb18a9e2f4252a2f62d4a2d4ba06b1
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