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
Upload ./deta_coco.pth with huggingface_hub
Browse files- deta_coco.pth +3 -0
deta_coco.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:45b025efb8987df326296dc046f4ecca2a486c97adf734330f37c210ba6c6064
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size 7530081258
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