---
library_name: transformers, peft
datasets:
- nielsr/funsd
---

# Model Card for Model ID

This model is based on the notebook provided [here](https://huggingface.co/spaces/PEFT/token-classification/blob/main/peft_lora_token_cls.ipynb) 



## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

This model learns to understand different sections of form in noisy scanned documents. An example is shown below

![Screenshot 2024-02-01 at 11.31.55 PM.png](https://cdn-uploads.huggingface.co/production/uploads/6461ad7196259bec21d4f206/JYWsgoU92uTBDbYTlApar.png)

It is based on a model developed by microsoft research for language understanding and generation of scanned documents.

- **Developed by:** Microsoft Research
- **Model type:** Multimodal
- **Language(s) (NLP):** [More Information Needed]
- **Finetuned from model:** microsoft/layoutlm-base-uncased

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]