Instructions to use Kushalguptaiitb/table_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kushalguptaiitb/table_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Kushalguptaiitb/table_test")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Kushalguptaiitb/table_test") model = AutoModelForObjectDetection.from_pretrained("Kushalguptaiitb/table_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ae36cca6dcde8dea6c67169632c3609141b6224bfea635d0b662ff2e96e9fa6
- Size of remote file:
- 167 MB
- SHA256:
- eb6f656dfc319ac726939358713a8b5622a12183d9c4d92a24246732196b26cd
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