Instructions to use microsoft/markuplm-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/markuplm-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, MarkupLMForPretraining processor = AutoProcessor.from_pretrained("microsoft/markuplm-large") model = MarkupLMForPretraining.from_pretrained("microsoft/markuplm-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/markuplm-large: direct link, hf CLI and curl.
- Browser
- Download file 750 MB
-
https://huggingface.co/microsoft/markuplm-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/markuplm-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/markuplm-large/resolve/main/pytorch_model.bin
750 MB
- Xet hash:
- b4373d834581f5be725527a82a5358668f95534530dabfafa6bfb8e4c28f6e26
- Size of remote file:
- 750 MB
- SHA256:
- ab0d2dd424d27dc7e038983444bf698958e8837ae60cce7aafa1c2f7f125a79a
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