Instructions to use G-dawg/table_experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use G-dawg/table_experimental with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="G-dawg/table_experimental")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("G-dawg/table_experimental") model = AutoModelForObjectDetection.from_pretrained("G-dawg/table_experimental", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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