Instructions to use binery/Table_detection_MS_E_14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binery/Table_detection_MS_E_14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="binery/Table_detection_MS_E_14")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("binery/Table_detection_MS_E_14") model = AutoModelForObjectDetection.from_pretrained("binery/Table_detection_MS_E_14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
f64f883 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:32d39f6ae0406bd3a112a475456c9936d65e390d43a8048943d4819efed8a83f
size 115397517
|