A while back i shared this model MohamedRashad/arabic-small-nougat that was a finetune from facebook/nougat-small for the Arabic Language.

Today this humble project has been scaled with new models, new datasets, new space, and a new paper

Check everything throught this collection here:
MohamedRashad/arabic-nougat-673a3f540bd92904c9b92a8e

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upvoted a paper 13 days ago

Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown Extraction

Paper • 2411.17835 • Published 29 days ago • 3

New activity in MohamedRashad/arabic-small-nougat 18 days ago

Arabic Small Nougat

#1 opened 8 months ago by

johnlockejrr

reacted to MohamedRashad's post with 🤗🚀 19 days ago

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upvoted an article 24 days ago

Article

HTRflow - A tool for HTR and OCR

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Oct 1

• 15

reacted to jsulz's post with 🔥 27 days ago

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When the XetHub crew joined Hugging Face this fall, @erinys and I started brainstorming how to share our work to replace Git LFS on the Hub. Uploading and downloading large models and datasets takes precious time. That’s where our chunk-based approach comes in.

Instead of versioning files (like Git and Git LFS), we version variable-sized chunks of data. For the Hugging Face community, this means:

⏩ Only upload the chunks that changed.
🚀 Download just the updates, not the whole file.
🧠 We store your file as deduplicated chunks

In our benchmarks, we found that using CDC to store iterative model and dataset version led to transfer speedups of ~2x, but this isn’t just a performance boost. It’s a rethinking of how we manage models and datasets on the Hub.

We're planning on our new storage backend to the Hub in early 2025 - check out our blog to dive deeper, and let us know: how could this improve your workflows?

https://huggingface.co/blog/from-files-to-chunks