Instructions to use microsoft/layoutlm-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/layoutlm-base-uncased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/layoutlm-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from microsoft/layoutlm-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 1.38 kB
-
https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/training_args.bin
- Command line
-
hf download hf://microsoft/layoutlm-base-uncased/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/training_args.bin
1.38 kB
- Xet hash:
- 5a3672139b75a957dbd15fdce58fdfa353c434e25ac0543394454b7825e78828
- Size of remote file:
- 1.38 kB
- SHA256:
- ca34845dbb6dfad761d6808888081e3fcef65f6ff80b4f31a4b4f517590cfdad
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