Instructions to use alterf/rec_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alterf/rec_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="alterf/rec_v1")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("alterf/rec_v1") model = AutoModelForObjectDetection.from_pretrained("alterf/rec_v1") - Notebooks
- Google Colab
- Kaggle
Upload TableTransformerForObjectDetection
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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"_name_or_path": "
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"_name_or_path": "bilguun/table-transformer-structure-recognition",
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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model.safetensors
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size 115437156
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version https://git-lfs.github.com/spec/v1
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size 115437156
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