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:
- c6521be8968f7708ce51c15632e4546ae5a43d4811350558bd7b7ec8c32f70de
- Size of remote file:
- 7.53 GB
- SHA256:
- 45b025efb8987df326296dc046f4ecca2a486c97adf734330f37c210ba6c6064
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