Image-to-Text
Transformers
PyTorch
TensorBoard
Safetensors
Hebrew
vision-encoder-decoder
image-text-to-text
Instructions to use sivan22/hdd-words-ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sivan22/hdd-words-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="sivan22/hdd-words-ocr")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("sivan22/hdd-words-ocr") model = AutoModelForImageTextToText.from_pretrained("sivan22/hdd-words-ocr") - Notebooks
- Google Colab
- Kaggle
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README.md
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tags:
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- image-to-text
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- src: word10032.png
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example_title: example 1
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tags:
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- image-to-text
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- src: https://huggingface.co/sivan22/hdd-words-ocr/resolve/main/word10032.png
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example_title: example 1
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