Instructions to use microsoft/layoutlm-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/layoutlm-base-cased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/layoutlm-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/layoutlm-base-cased: direct link, hf CLI and curl.
- Browser
- Download file 514 MB
-
https://huggingface.co/microsoft/layoutlm-base-cased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/layoutlm-base-cased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/layoutlm-base-cased/resolve/main/pytorch_model.bin
514 MB
- Xet hash:
- e64f00672d4ed6caae43ba4589f33309751ef873e111669396602ca6b3c958b2
- Size of remote file:
- 514 MB
- SHA256:
- b4ae325d670c116cadb283414bf6ee7d3a0f6c2472008a15496c865ea748963b
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