Instructions to use text2knowledge/doctr-torch-tablecenternet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- docTR
How to use text2knowledge/doctr-torch-tablecenternet with docTR:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download config.json from text2knowledge/doctr-torch-tablecenternet: direct link, hf CLI and curl.
- Browser
- Download file 303 Bytes
-
https://huggingface.co/text2knowledge/doctr-torch-tablecenternet/resolve/refs%2Fpr%2F1/config.json
- Command line
-
hf download hf://text2knowledge/doctr-torch-tablecenternet@refs/pr/1/config.json
-
curl -L -o config.json https://huggingface.co/text2knowledge/doctr-torch-tablecenternet/resolve/refs%2Fpr%2F1/config.json
303 Bytes
| { | |
| "input_shape": [ | |
| 3, | |
| 1024, | |
| 1024 | |
| ], | |
| "mean": [ | |
| 0.798, | |
| 0.785, | |
| 0.772 | |
| ], | |
| "std": [ | |
| 0.264, | |
| 0.2749, | |
| 0.287 | |
| ], | |
| "url": "https://github.com/mindee/doctr/releases/download/v1.0.1/tablecenternet-ea5b30a3.pt", | |
| "arch": "tablecenternet", | |
| "task": "table_structure" | |
| } |