Instructions to use facebook/PE-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PerceptionEncoder
How to use facebook/PE-Detection with PerceptionEncoder:
# Use any PE model as a vision encoder import core.vision_encoder.pe as pe model = pe.VisionTransformer.from_config("facebook/PE-Detection", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8b6466d20002010d08477956dbf3a46f4a70696d9e3cc6469069942c6f83d05
- Size of remote file:
- 7.55 GB
- SHA256:
- 77df62472d076ed8854778086782390c673915cba3caa04da8ebe2aa7dde4f11
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