Image-to-Text
Transformers
Safetensors
Turkish
English
ocr
turkish
document-intelligence
vision-language-model
svtrv2
qwen2.5-vl
kvkk
pii-redaction
legal-nlp
ictihat
financial-verification
visual-redaction
Eval Results (legacy)
Instructions to use ersanbil/TurkceOCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ersanbil/TurkceOCR with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="ersanbil/TurkceOCR")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ersanbil/TurkceOCR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download NOTICE from ersanbil/TurkceOCR: direct link, hf CLI and curl.
- Browser
- Download file 1.28 kB
-
https://huggingface.co/ersanbil/TurkceOCR/resolve/main/NOTICE
- Command line
-
hf download hf://ersanbil/TurkceOCR/NOTICE
-
curl -L -o NOTICE https://huggingface.co/ersanbil/TurkceOCR/resolve/main/NOTICE
1.28 kB
| TurkceOCR | |
| Copyright 2026 ersanbil (https://huggingface.co/ersanbil) | |
| Licensed under the Apache License, Version 2.0 (the "License"); | |
| you may not use this file except in compliance with the License. | |
| You may obtain a copy of the License at | |
| http://www.apache.org/licenses/LICENSE-2.0 | |
| This product builds upon or evaluates against the following upstream datasets, | |
| models, and open-source projects: | |
| - Türk İçtihat Korpusu (11,045,085 Turkish Court Decisions) | |
| Author: Hamza Bağırsakçı (https://huggingface.co/datasets/hamzabagirsakci/turkish-court-decisions) | |
| License: CC0-1.0 | |
| - Public Turkish archival documents sampled for evaluation and line extraction: | |
| T.C. Resmî Gazete (https://www.resmigazete.gov.tr), Mevzuat Bilgi Sistemi | |
| (https://www.mevzuat.gov.tr), Rekabet Kurumu (https://www.rekabet.gov.tr), | |
| EPDK (https://www.epdk.gov.tr), TBMM (https://www.tbmm.gov.tr). | |
| - BERTurk (dbmdz/bert-base-turkish-cased) | |
| Author: Stefan Schweter, MDZ Digital Library team at the Bavarian State Library (MIT License). | |
| - Qwen2.5-VL-3B-Instruct (Qwen/Qwen2.5-VL-3B-Instruct) | |
| Author: Qwen Team, Alibaba Cloud (Apache License 2.0). | |
| - SVTRv2 / OpenOCR | |
| Author: Fudan University Vision and Learning Laboratory (Apache License 2.0). | |
| - Tesseract OCR v5 (Apache License 2.0). | |