Instructions to use sg485/Resnet34_Table_Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sg485/Resnet34_Table_Transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="sg485/Resnet34_Table_Transformer")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("sg485/Resnet34_Table_Transformer") model = AutoModelForObjectDetection.from_pretrained("sg485/Resnet34_Table_Transformer") - Notebooks
- Google Colab
- Kaggle
Upload TableTransformerForObjectDetection
Browse files- pytorch_model.bin +2 -2
pytorch_model.bin
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