Instructions to use SaulLu/markuplm-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaulLu/markuplm-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, MarkupLMForPretraining processor = AutoProcessor.from_pretrained("SaulLu/markuplm-base") model = MarkupLMForPretraining.from_pretrained("SaulLu/markuplm-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SaulLu/markuplm-base: direct link, hf CLI and curl.
- Browser
- Download file 277 MB
-
https://huggingface.co/SaulLu/markuplm-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SaulLu/markuplm-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SaulLu/markuplm-base/resolve/main/pytorch_model.bin
277 MB
- Size of remote file:
- 277 MB
- SHA256:
- 812da9c91ed2b8d807c15c610fad699893ae2e7163861a2675fc162bcd834185
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