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:
- 376072b54baf3c40431f644d1fb73b10be5299caaa77e400f9363950fa014bf3
- Size of remote file:
- 502 MB
- SHA256:
- 0e8ef2140ebbfb261a441cded24114ca32eaeb6ca4485aa06e81be7bdd790d40
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