Instructions to use microsoft/layoutlmv2-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/layoutlmv2-base-uncased with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/layoutlmv2-base-uncased", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11295306561201a507ae2a58a8453528898b7ac2593710dbc36c8d00315a2104
- Size of remote file:
- 802 MB
- SHA256:
- 8cffd5ed065ff81e1e5c9a38968372c8541ecb8499999c89a8d9e10d65de3406
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