Instructions to use Ssunbell/layoutlmv2_large_sequence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ssunbell/layoutlmv2_large_sequence with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Ssunbell/layoutlmv2_large_sequence")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Ssunbell/layoutlmv2_large_sequence") model = AutoModel.from_pretrained("Ssunbell/layoutlmv2_large_sequence") - 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 sha256:34b9ba2133f6997279d26994d66864b572c6ec46968033d30175caba78fc3c87
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size 1705734324
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