Instructions to use guidel/table-transformer-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guidel/table-transformer-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="guidel/table-transformer-detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("guidel/table-transformer-detection") model = AutoModelForObjectDetection.from_pretrained("guidel/table-transformer-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c81d080789fbbcf6038329b370f0dfb215e73b3bd9526680c3c116ce565be80d
- Size of remote file:
- 115 MB
- SHA256:
- a9f96d1a7d13fea2e316965d65738ee5d4f8e303d757c072dd90f9470b53363f
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