Add structure extraction vlm#279
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stevhliu merged 8 commits intohuggingface:mainfrom Jan 31, 2025
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…using Vision Language Models - Updated the table of contents to include a new section for "Structured Generation from Documents Using Vision Language Models". - Added a new Jupyter notebook that demonstrates how to extract structured information from documents using the SmolVLM-500M-Instruct model, including installation instructions, model initialization, and example usage.
…age Models - Introduced a new notebook demonstrating the extraction of structured information from documents using the SmolVLM-500M-Instruct model. - Included installation instructions, model initialization, and example usage with a focus on generating structured tags and confidence scores from images. - Added detailed markdown explanations for each step of the process.
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…uage Models - Updated the description to clarify the use of the SmolVLM-Instruct model and its integration with the HuggingFace Transformers and Outlines libraries. - Added a reference to an outlines tutorial for better guidance. - Modified the installation command to remove the Gradio library, streamlining the dependencies.
stevhliu
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Jan 28, 2025
stevhliu
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This is nice, thanks for your contribution! I think it can be even better if you demonstrate a real world end-to-end application of it though 😄
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I agree, let me rewrite a bit for a real-life scenario, making the outlines variant more reproducible and usable while creating some visibility. I wanted to keep the effort minimal but some additional work would be great. |
…nthetic data extraction - Updated notebook to use the RLAIF-V-Dataset for structured information extraction - Implemented a function to generate synthetic questions, descriptions, and quality tags for images - Added code to push the augmented dataset to the Hugging Face Hub - Simplified the notebook's imports and removed unused code - Updated markdown sections to provide clearer context and explanation
- Corrected the filename from `structured_generation_vision_languag_models.ipynb` to `structured_generation_vision_language_models.ipynb` - Updated the index.md to reflect the corrected notebook title and link - Updated the _toctree.yml to use the corrected notebook filename
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Awesome thanks! Just need to resolve the conflict and we should be good 😄
- Fixed a small punctuation error in the introduction paragraph - Corrected "HuggingFaceTB" to "Hugging Face"
- Expanded notebook title to clarify generation from both images and documents - Minor enhancement to improve clarity of the notebook's scope
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Looks like the issue is resolved now! |
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