Instructions to use G-dawg/table_exp_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use G-dawg/table_exp_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="G-dawg/table_exp_2")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("G-dawg/table_exp_2") model = AutoModelForObjectDetection.from_pretrained("G-dawg/table_exp_2") - Notebooks
- Google Colab
- Kaggle