From the model card
Fields below are copied from the tags and counters on the HuggingFace repository microsoft/markuplm-base at our last fetch. They are set by the uploader, not verified by us; rows with no tag are omitted. How this page is made.
- Publisher (HF namespace)
- microsoft
- Library
- Transformers
- Framework tags
- PyTorch
- Language tags
- English (en)
- Papers cited
- arXiv:2110.08518
- Downloads (HF counter at last fetch)
- 354,056
- Likes (HF counter at last fetch)
- 27
- Model card
- https://huggingface.co/microsoft/markuplm-base
Use cases
- Structured web page information extraction
- Form understanding and field value extraction from HTML
- Web scraping assistance with semantic understanding of page structure
- Document classification of web content by page type
Pros
- Joint encoding of text + markup tags captures page semantics HTML-specific models miss
- Microsoft Research provenance with accompanying paper and reproducible results
- Base size suitable for fine-tuning on custom web extraction datasets
- Apache 2.0 license
Cons
- Limited to HTML/XML inputs — not useful for plain text tasks
- Base model requires task-specific fine-tuning; no direct QA capability
- Modern web pages with heavy JavaScript rendering may lose structure before reaching the model
- Outperformed by larger models on complex table and form extraction tasks
Tags
transformerspytorchmarkuplmenarxiv:2110.08518endpoints_compatibleregion:us