Instructions to use microsoft/layoutlmv3-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/layoutlmv3-base-chinese with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/layoutlmv3-base-chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/layoutlmv3-base-chinese: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/microsoft/layoutlmv3-base-chinese/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/layoutlmv3-base-chinese/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/layoutlmv3-base-chinese/resolve/main/pytorch_model.bin
1.11 GB
- Xet hash:
- 1751731967d76fca852ebbabe72772402dc53a92c0e6a2bbd603875c5dfb0ce9
- Size of remote file:
- 1.11 GB
- SHA256:
- c4201006336797c5b9d851fc9a36e2e838e321e43b662a204c51cdbdc3783f21
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