Instructions to use deepdoctection/tatr_tab_struct_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepdoctection/tatr_tab_struct_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="deepdoctection/tatr_tab_struct_v2")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("deepdoctection/tatr_tab_struct_v2") model = AutoModelForObjectDetection.from_pretrained("deepdoctection/tatr_tab_struct_v2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (89b16d2da7b5947b11a49b16b9238684434a6f63)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1217a08ae1e34c83235d701b0d9870f873a2158c2b8dfb28e289e4f49011c991
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size 115433860
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