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 pytorch_model.bin from microsoft/layoutlm-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 453 MB
-
https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/layoutlm-base-uncased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/pytorch_model.bin
453 MB
- Xet hash:
- b984a2645fe6d98c8cf023e8f4276459e3d97aa32352d2a3df08bb8f72d2bb8b
- Size of remote file:
- 453 MB
- SHA256:
- 5124ee7a886d80fad60e357ce9f0686d088e157e07321c218252ac706b58f633
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