Image-to-Text
Transformers
Safetensors
Turkish
lighton_ocr
image-text-to-text
ocr
document-understanding
turkish
enterprise
vision-language
werea
Instructions to use GoktugD/Werea-DocOCR-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GoktugD/Werea-DocOCR-1B 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="GoktugD/Werea-DocOCR-1B")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("GoktugD/Werea-DocOCR-1B") model = AutoModelForMultimodalLM.from_pretrained("GoktugD/Werea-DocOCR-1B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 693ec4b3922b0bd306bf7b4989e115ffbfeb7b0c08b31bc6d956818c6bb07f61
- Size of remote file:
- 11.4 MB
- SHA256:
- aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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