Instructions to use microsoft/layoutlm-large-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/layoutlm-large-uncased with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/layoutlm-large-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/layoutlm-large-uncased: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/layoutlm-large-uncased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/pytorch_model.bin
1.36 GB
- Xet hash:
- 608a7d4ce2013bf17a58532edc1571871f3315fcb8cc0ca25a6a9ab334b51eaf
- Size of remote file:
- 1.36 GB
- SHA256:
- ca2e942bb9fb4865c096cdcdbbbcd0d4ecd785c2dd329a4047aee790642ae706
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