Image-to-Text
Transformers
Safetensors
vision-encoder-decoder
image-text-to-text
vision
ocr
trocr
handwriting-recognition
document-processing
Instructions to use WARAJA/Tzefa-Word-OCR-TrOCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WARAJA/Tzefa-Word-OCR-TrOCR 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="WARAJA/Tzefa-Word-OCR-TrOCR")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("WARAJA/Tzefa-Word-OCR-TrOCR") model = AutoModelForImageTextToText.from_pretrained("WARAJA/Tzefa-Word-OCR-TrOCR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a634b237532713958545243d1ad184418a97cf510212c380cd6b393476a3bf0
- Size of remote file:
- 14.2 kB
- SHA256:
- 8a7e0f9ee3d5fcbcd34962ffcc2a23c2d283560027f06119f807cc9f2b38460e
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