Image-to-Text
Transformers
PyTorch
Safetensors
vision-encoder-decoder
image-text-to-text
donut
vision
Instructions to use TeeA/Horus-OCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeeA/Horus-OCR 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="TeeA/Horus-OCR")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("TeeA/Horus-OCR") model = AutoModelForMultimodalLM.from_pretrained("TeeA/Horus-OCR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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library_name: transformers
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- donut
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- vision
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# Model Card for Model ID
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