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