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README.md
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---
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language:
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- sv
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---
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:construction_worker: This model card is under construction!
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# Swedish OCR correction
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<!-- Provide a quick summary of what the model is/does. -->
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This model corrects OCR errors in Swedish text.
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## Model Description
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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.
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<!-- ### Model Description-->
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<!-- Provide a longer summary of what this model is.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]-->
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## Training Data
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The base model byt5 is pre-trained on [mc4](https://huggingface.co/datasets/mc4). This fine-tuned version is further trained on:
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- 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).
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- Swedish blackletter documents from 1626 to 1816, available from Språkbaknen Text: [Swedish fraktur 1626-1816](https://spraakbanken.gu.se/resurser/svensk-fraktur-1626-1816)
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## Usage
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The model accepts input sequences of at most 128 UTF-8 bytes. Use the code below to get started with the model.
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[Demo code here]
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