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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/layoutlmv3-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/layoutlmv3-base: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/microsoft/layoutlmv3-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/layoutlmv3-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/layoutlmv3-base/resolve/main/pytorch_model.bin
501 MB
- Xet hash:
- 92ed467b9b2344819eceefbf7162fb61e2162fb7330d39cb38432fe5d15ad9d7
- Size of remote file:
- 501 MB
- SHA256:
- 3b631333e3cbcbef18801873b9f53c19bffddfd88922d805e7d309d7c019941f
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