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ersanbil
/
TurkceOCR

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)
Model card Files Files and versions
xet
Community

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
TurkceOCR / turkceocr /models
73.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ersanbil's picture
ersanbil
Release TurkceOCR v2.0 (Apache-2.0)
c8b6043 about 6 hours ago
  • __init__.py
    928 Bytes
    Release TurkceOCR v2.0 (Apache-2.0) about 6 hours ago
  • line_svtrv2.py
    19.2 kB
    Release TurkceOCR v2.0 (Apache-2.0) about 6 hours ago
  • losses.py
    12.2 kB
    Release TurkceOCR v2.0 (Apache-2.0) about 6 hours ago
  • vl_model.py
    40.9 kB
    Release TurkceOCR v2.0 (Apache-2.0) about 6 hours ago