---
language:
- sv
---

:construction_worker: This model card is under construction!

# Swedish OCR correction

<!-- Provide a quick summary of what the model is/does. -->

This model corrects OCR errors in Swedish text.

## Model Description

This model is a fine-tuned version of [byt5-small](https://huggingface.co/google/byt5-small), a character-level multilingual transformer. It is fine-tuned on OCR samples from Swedish newspapers and historical text.

<!-- ### Model Description-->

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

- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]

### Model Sources [optional]

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

## Training Data

The base model byt5 is pre-trained on [mc4](https://huggingface.co/datasets/mc4). This fine-tuned version is further trained on:

- Swedish newspapers from 1818 to 2018. Parts of the dataset are available from Språkbanken Text: [Swedish newspapers 1818-1870](https://spraakbanken.gu.se/en/resources/svenska-tidningar-1818-1870), [Swedish newspapers 1871-1906](https://spraakbanken.gu.se/resurser/svenska-tidningar-1871-1906).
- Swedish blackletter documents from 1626 to 1816, available from Språkbaknen Text: [Swedish fraktur 1626-1816](https://spraakbanken.gu.se/resurser/svensk-fraktur-1626-1816)

## Usage
The model accepts input sequences of at most 128 UTF-8 bytes. Use the code below to get started with the model.

[Demo code here]