Instructions to use microsoft/layoutlmv2-large-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/layoutlmv2-large-uncased with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/layoutlmv2-large-uncased", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a5d0cbbef83b74f485ec3ed803176c52a7dd9705a7bcd623a45b9eb24130bd5
- Size of remote file:
- 1.71 GB
- SHA256:
- 94fa102e8f8b6ad05e2c3ec95ed995ff2418df7d43aa462197665b6751cefc02
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