Instructions to use Kushalguptaiitb/table_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kushalguptaiitb/table_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Kushalguptaiitb/table_test")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Kushalguptaiitb/table_test") model = AutoModelForObjectDetection.from_pretrained("Kushalguptaiitb/table_test") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:648723baad4524d79a5b039202a121db938cb6d9d282560838681b3d3d80beba
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size 166506904
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