Instructions to use Caraaaaa/text_image_captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Caraaaaa/text_image_captioning 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="Caraaaaa/text_image_captioning")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Caraaaaa/text_image_captioning") model = AutoModelForMultimodalLM.from_pretrained("Caraaaaa/text_image_captioning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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pipeline_tag: image-to-text
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This
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It is part of a project to build a software solution capable of processing offline documents (PDFs, Word, PowerPoint, PPT, etc.) to detect WCAG accessibility issues.
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Example document with non-text images:
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Extracted Image:
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Generated caption:
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"Indication of correct signature"
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- [Training script](https://colab.research.google.com/drive/1QYvXdi0V1AXqlBMR8MpyydNMnK_Vt4dU?usp=sharing)
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- [Github repo](https://github.com/caraaaaa/doc_accessibility?tab=readme-ov-file)
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pipeline_tag: image-to-text
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This is a [GenerativeImage2Text](https://huggingface.co/microsoft/git-base) model finetuned on [non-text images](https://huggingface.co/datasets/Caraaaaa/non_text_image_captioning) extracted from documents (i.e.PDF). It is used to analyze the content of the image and produce a descriptive caption.
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It is part of a [project]((https://github.com/caraaaaa/doc_accessibility?tab=readme-ov-file)) to build a software solution capable of processing offline documents (PDFs, Word, PowerPoint, PPT, etc.) to detect WCAG accessibility issues.
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Example document with non-text images:
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Extracted Image:
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Generated caption:
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"Indication of correct signature"
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