Instructions to use zaa-hamza/microsoft-table-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zaa-hamza/microsoft-table-transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="zaa-hamza/microsoft-table-transformer")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("zaa-hamza/microsoft-table-transformer") model = AutoModelForObjectDetection.from_pretrained("zaa-hamza/microsoft-table-transformer") - 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:fbc8cd24278918a3faa3f965b6250e0d6c5ae2d3ed5a8e2f93190cda4cdd4859
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size 115318164
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