Instructions to use moetezsa/table_detection_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moetezsa/table_detection_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="moetezsa/table_detection_v1")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("moetezsa/table_detection_v1") model = AutoModelForObjectDetection.from_pretrained("moetezsa/table_detection_v1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fbc9731f0a072c9837e0a3ae29de7f89f64309a9783d5e416660abf4d7aa780
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size 115317516
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