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:
- 84334943c82371674400efd006695fd16d0439e4b51b163576693768b34d88c4
- Size of remote file:
- 1.42 GB
- SHA256:
- 747717fbcc0759de8f6f387d498974b9909f1591a6a473c47c15c39b43a195d2
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