Object Detection
Transformers
ONNX
Chinese
English
document-ai
document-layout-analysis
patent
pdf
hiro
patsnap
Instructions to use PatSnap/Hiro-Layout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PatSnap/Hiro-Layout with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="PatSnap/Hiro-Layout")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PatSnap/Hiro-Layout", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28569ea3ecf5bc9a0c13f31479d8a4528e8a406a6f7a802664c4446590f6fbb1
- Size of remote file:
- 262 MB
- SHA256:
- bf6677afdbec074bd170f9471c606ee012baffa0e721626a4ceb4803eb4344f9
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