Instructions to use 10Ngoc/task01tableDec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 10Ngoc/task01tableDec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="10Ngoc/task01tableDec")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("10Ngoc/task01tableDec") model = AutoModelForObjectDetection.from_pretrained("10Ngoc/task01tableDec") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9c551e0fdfe02f9b28d7f7d56644f8153fee1c5ec551aefe4bbe334d9e2ed3e
- Size of remote file:
- 115 MB
- SHA256:
- a8d72a27328c1e5d0143fe006c34bc0aee14e7b701d2f38b65b6308dd26f9d3e
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