Add Diacritics In Hebrew
📈
Add diacritics to Hebrew text using dicta-il model
John Locke
johnlockejrr
AI & ML interests
NLP, OCR, AI
Recent Activity
updated
a Space
2 days ago
samaritan-ai/dikta-il-naqdan-ivrit
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3 days ago
nvidia/nemotron-ocr-v1:Finetune `nvidia/nemotron-ocr-v1` recognition model
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M2.1: Multilingual and Multi-Task Coding with Strong Generalization
Organizations
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2 days ago
Finetune `nvidia/nemotron-ocr-v1` recognition model
3
#7 opened 18 days ago
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johnlockejrr
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Article
M2.1: Multilingual and Multi-Task Coding with Strong Generalization
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2025.1 - DeepSeek entered the scene, backed by High Flyer Quant
2026.1 - IQuest enters the game, backed by Uniquant Quant 📈 and launching IQuest-Coder on huggingface
https://huggingface.co/collections/IQuestLab/iquest-coder
✨ 40B models: Instruct / Thinking / Loop
✨ Loop = MoE-level performance with only ~5% extra training cost
✨ Native 128K context
2026.1 - IQuest enters the game, backed by Uniquant Quant 📈 and launching IQuest-Coder on huggingface
https://huggingface.co/collections/IQuestLab/iquest-coder
✨ 40B models: Instruct / Thinking / Loop
✨ Loop = MoE-level performance with only ~5% extra training cost
✨ Native 128K context
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11 days ago
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I have update my https://huggingface.co/collections/MohamedRashad/arabic-speech-datasets
with new datasets, making the full audio data more than 3000 hours of good arabic speech.
Feel Free to use it in your new innovations, And happy new year!
with new datasets, making the full audio data more than 3000 hours of good arabic speech.
Feel Free to use it in your new innovations, And happy new year!
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14 days ago
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New in llama.cpp: Model Management
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Thank you
@clem
(Co-Founder & CEO of Hugging Face) for sharing my dataset on X / Twitter!
ronantakizawa/github-top-developers
#github #dataset
ronantakizawa/github-top-developers
#github #dataset
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Efficient MultiModal Data Pipeline
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NVIDIA releases Nemotron 3 Nano, a new 30B hybrid reasoning model! 🔥
Has 1M context window & best in class performance for SWE-Bench, reasoning & chat. Run the MoE model locally with 24GB RAM.
GGUF: unsloth/Nemotron-3-Nano-30B-A3B-GGUF
💚 Step-by-step Guide: https://docs.unsloth.ai/models/nemotron-3
Has 1M context window & best in class performance for SWE-Bench, reasoning & chat. Run the MoE model locally with 24GB RAM.
GGUF: unsloth/Nemotron-3-Nano-30B-A3B-GGUF
💚 Step-by-step Guide: https://docs.unsloth.ai/models/nemotron-3
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