Instructions to use datalab-to/inline_math_det0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datalab-to/inline_math_det0 with Transformers:
# Load model directly from transformers import EfficientViTForSemanticSegmentation model = EfficientViTForSemanticSegmentation.from_pretrained("datalab-to/inline_math_det0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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- model.safetensors +1 -1
config.json
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{
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"_name_or_path": "/home/ubuntu/models/inline-
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"architectures": [
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"EfficientViTForSemanticSegmentation"
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],
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"_name_or_path": "/home/ubuntu/models/inline-math-nosingle/checkpoint-31248",
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"architectures": [
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"EfficientViTForSemanticSegmentation"
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],
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:89a0f12e052cee1f101e9f83332177c2e1b78e613166f8d1afa860265fa2e27f
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size 153825684
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