Instructions to use microsoft/layoutlmv3-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/layoutlmv3-large with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/layoutlmv3-large", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7431f58e24cced0f633ee85ac1821b71f4944614c919d103db2988dfb53134c0
- Size of remote file:
- 1.42 GB
- SHA256:
- e9df2f4967eb29213f9921781cf44051aa5d464d69ca53d037b5462d2ebc4b00
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