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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:8945858e3fae97a2b0e77d95d53261e7ad4c4f12a2e913a93dc535a84fc605ab
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size 115314248
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