Instructions to use srv-sh007/table_structure_recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use srv-sh007/table_structure_recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="srv-sh007/table_structure_recognition")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("srv-sh007/table_structure_recognition") model = AutoModelForObjectDetection.from_pretrained("srv-sh007/table_structure_recognition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 346200b7dcecf861e975b88b85659a8488bb1f38807c216e319d7a9e829a1f62
- Size of remote file:
- 115 MB
- SHA256:
- fa3c4a868a10e61ce8730b1e939251f22360556c684f089ee19666da6a17bc73
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