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:
# Load model directly from transformers import AutoProcessor, MarkupLMForPretraining processor = AutoProcessor.from_pretrained("SaulLu/markuplm-base") model = MarkupLMForPretraining.from_pretrained("SaulLu/markuplm-base") - Notebooks
- Google Colab
- Kaggle
- Size of remote file:
- 277 MB
- SHA256:
- 812da9c91ed2b8d807c15c610fad699893ae2e7163861a2675fc162bcd834185
·
Git Large File Storage (LFS) replaces large files with text pointers inside Git, while storing the file contents on a remote server. More info.