Instructions to use AmineAllo/table-transformer-azure-dust-65 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmineAllo/table-transformer-azure-dust-65 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="AmineAllo/table-transformer-azure-dust-65")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("AmineAllo/table-transformer-azure-dust-65") model = AutoModelForObjectDetection.from_pretrained("AmineAllo/table-transformer-azure-dust-65", device_map="auto") - 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:eff8a49a6fa86ec9d07f2a1a81f8a518b5fb8b216faa53869a7c37933c47c714
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size 115301744
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