Instructions to use swapnilpote/table-transformer-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swapnilpote/table-transformer-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="swapnilpote/table-transformer-detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("swapnilpote/table-transformer-detection") model = AutoModelForObjectDetection.from_pretrained("swapnilpote/table-transformer-detection") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 73df806
Upload TableTransformerForObjectDetection
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pytorch_model.bin
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