---
library_name: transformers
license: cc-by-4.0
language:
- 'no'
- 'nb'
- 'nn'
base_model:
- microsoft/trocr-base-handwritten
---

# Model Card for Sprakbanken/TrOCR-norhand-v3
This is a TrOCR-model for OCR (optical character recognition) of handwritten historic documents written in Norwegian.  
It can be used to recognize text in images of handwritten text.

## How to Get Started with the Model

Use the code below to get started with the model.

```python
from transformers import TrOCRProcessor, VisionEncoderDecoderModel
from PIL import Image

processor = TrOCRProcessor.from_pretrained("Sprakbanken/TrOCR-norhand-v3")
model = VisionEncoderDecoderModel.from_pretrained("Sprakbanken/TrOCR-norhand-v3")

image = Image.open("path_to_image.jpg").convert("RGB")

pixel_values = processor(image, return_tensors="pt").pixel_values
generated_ids = model.generate(pixel_values)

generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
```

## Model Details
This model is [microsoft/trocr-base-handwritten](https://huggingface.co/microsoft/trocr-base-handwritten) fine-tuned on the [Huggingface version](https://huggingface.co/datasets/Teklia/NorHand-v3-line) of the [NorHand v3 dataset](https://zenodo.org/records/10255840).  

### Model Description

- **Developed by:** The National Library of Norway
- **Model type:** TrOCR
- **Languages:**  Norwegian (mostly >100 years old)
- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
- **Finetuned from model :** [microsoft/trocr-base-printed](https://huggingface.co/microsoft/trocr-base-handwritten)

## Uses
You can use the raw model for handwritten text recognition (HTR) on single text-line images in Norwegian. 

### Out-of-Scope Use
The model only works with images of lines of text.
If you have images of entire pages of text, you must segment the text into lines first to benefit from this model.