Instructions to use guidel/table-transformer-structure-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guidel/table-transformer-structure-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="guidel/table-transformer-structure-recognition")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("guidel/table-transformer-structure-recognition") model = AutoModelForObjectDetection.from_pretrained("guidel/table-transformer-structure-recognition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from guidel/table-transformer-structure-recognition: direct link, hf CLI and curl.
- Browser
- Download file 116 MB
-
https://huggingface.co/guidel/table-transformer-structure-recognition/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://guidel/table-transformer-structure-recognition/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/guidel/table-transformer-structure-recognition/resolve/main/pytorch_model.bin
116 MB
- Xet hash:
- bca5f583a14c56169ce5ccec08897d2f9b291c54b06bf9e9621769d338ea6719
- Size of remote file:
- 116 MB
- SHA256:
- 956a9a6d5caf2cd61c252468d5e67154418be8a2f200186175b1c8ddc52b0d57
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