Instructions to use dh-unibe/trocr-kurrent-XVI-XVII with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use dh-unibe/trocr-kurrent-XVI-XVII with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="dh-unibe/trocr-kurrent-XVI-XVII")

# Load model directly
from transformers import AutoTokenizer, AutoModelForImageTextToText

tokenizer = AutoTokenizer.from_pretrained("dh-unibe/trocr-kurrent-XVI-XVII")
model = AutoModelForImageTextToText.from_pretrained("dh-unibe/trocr-kurrent-XVI-XVII")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use dh-unibe/trocr-kurrent-XVI-XVII with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dh-unibe/trocr-kurrent-XVI-XVII"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dh-unibe/trocr-kurrent-XVI-XVII",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/dh-unibe/trocr-kurrent-XVI-XVII

SGLang

How to use dh-unibe/trocr-kurrent-XVI-XVII with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "dh-unibe/trocr-kurrent-XVI-XVII" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dh-unibe/trocr-kurrent-XVI-XVII",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "dh-unibe/trocr-kurrent-XVI-XVII" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dh-unibe/trocr-kurrent-XVI-XVII",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use dh-unibe/trocr-kurrent-XVI-XVII with Docker Model Runner:
```
docker model run hf.co/dh-unibe/trocr-kurrent-XVI-XVII
```

TrOCR Kurrent-Model 16th to 18th century

Handwritten Text Recognition model for 16th to 18th century German.

Part of the developments at the Digital Humanities@University of Bern. Developed by Jonas Widmer, Anna Funk, Christa Schneider, and Tobias Hodel.

Base model: dh-unibe/trocr-kurrent

Epochs: 19.85 / 20
Eval CER: 0.05673
Test CER: 0.05416

This model is based on an extensive training set (of roughly 1579200 words) and evaluated against the same hands in an evaluation and test set (automatic split). Consisting of German Kurrent scripts written in the 16th-18th century.

The ground truth stems from different projects and partners and is biased toward Swiss documents. It is based on documents from a variety of archives and projects. Among others, the State Archives of Zürich (Stillstandsprotokolle, Ratsmanuale, Findmittel), and the scholarly edition project Königsfelden (Universitäten Zürich und Bern: www.koenigsfelden.uzh.ch). As well as transcriptions from Einsiedeln. Further contributions by the university archives of Greifswald: https://rechtsprechung-im-ostseeraum.archiv.uni-greifswald.de/.

The public Transkribus model (based on PyLaia) can be found here: https://readcoop.eu/model/german-kurrent-16th-18th/

Extensive testing of the model has still to be carried out. This is only a first attempt but might help for fine-tuning tasks.

Downloads last month: 694

Safetensors

Model size

0.3B params

Tensor type

F32

Inference Providers NEW

Image-Text-to-Text

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

dh-unibe
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trocr-kurrent-XVI-XVII

TrOCR Kurrent-Model 16th to 18th century

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