Instructions to use Christian710/table_detection_detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Christian710/table_detection_detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Christian710/table_detection_detr")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Christian710/table_detection_detr") model = AutoModelForObjectDetection.from_pretrained("Christian710/table_detection_detr") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#12
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 sha256:4725911d8b18169c7ff28b10a455ec3918da65cec1f2bd533026a8cc82dcba33
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size 115317516
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