Instructions to use TahaDouaji/detr-doc-table-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TahaDouaji/detr-doc-table-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="TahaDouaji/detr-doc-table-detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("TahaDouaji/detr-doc-table-detection") model = AutoModelForObjectDetection.from_pretrained("TahaDouaji/detr-doc-table-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
[Clean-up] Planned removal of the `max_size` argument
#10
by HichTala - opened
- Remove deprecated
max_sizeand replacesizewith a Dict - Replace deprecated
"feature_extractor_type": "DetrFeatureExtractor"with"image_processor_type": "DetrImageProcessor"
TahaDouaji changed pull request status to merged