Instructions to use microsoft/layoutlmv3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/layoutlmv3-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/layoutlmv3-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca31083649307180786ebdd797b8407cc3291526f9604ece8ab8b2c3ea58d0a2
- Size of remote file:
- 502 MB
- SHA256:
- e8d1f8e133bc7e727ec873b400fa31b226a488bccf392c1fc97ec5e0bdbba96a
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