Julien Chaumond

@julien_c

Co-founder and CTO at 🤗. Natural language processing, Prob languages, Transfer learning. +

New York
Vrijeme pridruživanja: rujan 2008.

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  1. Prikvačeni tweet
    18. pro 2019.

    🔥🔥 Series A!! 🔥🔥 Solving Natural language is going to be the biggest achievement of our lifetime, and is the best proxy for Artificial intelligence. Not one company, even the Tech Titans, will be able to do it by itself – the only way we'll achieve this is working together

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  2. proslijedio/la je Tweet
    prije 15 sati

    I just published my first post on Medium "Is the future of Neural Networks Sparse?" . Enjoy!

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  3. prije 15 sati

    Guest blog post from angel investor on sparse tensors in neural nets. I am VERY excited by what's going to happen in sparsity-land this year 🔥

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  4. proslijedio/la je Tweet
    3. velj

    I’ve been a fan of the transformers library ever since I started working on BERT in Feb 2019 (still named “pytorch-pretrained-bert”) and have witnessed it develop into the industry standard library for applying transformers in DL Thanks for the mention !🙂

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  5. proslijedio/la je Tweet
    3. velj

    The 2.4.0 release of transformers is **𝐌𝐀𝐒𝐒𝐈𝐕𝐄** thanks to our amazing community of contributors. 🔥

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  6. 3. velj

    And last but not least, a TON of bug fixes and misc. quality-of-life improvements: from , , , , , etc., etc. (apologies for not mentioning everyone) 🔥 Full release notes on GitHub 🔥

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  7. 3. velj

    - A lot more support for models in thanks to - Better integration of text generation primitives, and

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  8. 3. velj

    Much improved adoption of modern Python best practices throughout the codebase. Thanks , and 💪

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  9. 3. velj

    New models from: - (Dutch BERT), - at Facebook AI (MMBT, multi-modal model) - , et al. (FlauBERT, French-trained XLM-like) - , et al. at (UmBERTo, Italian CamemBERT-like)

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  10. 3. velj

    The 2.4.0 release of transformers is **𝐌𝐀𝐒𝐒𝐈𝐕𝐄** thanks to our amazing community of contributors. 🔥

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  11. proslijedio/la je Tweet
    2. velj

    I'm impressed by the work Hugging Face is doing.

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  12. proslijedio/la je Tweet
    31. sij

    We have created umBERTo, an Italian🇮🇹Language Model trained with Whole Word Masking. The model is released for CommonCrawl and Wikipedia through the awesome Transformers library by 🤗 Code:

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  13. proslijedio/la je Tweet
    31. sij

    Supervised multimodal bitransformers now available in the awesome HuggingFace Transformers library!

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  14. proslijedio/la je Tweet
    31. sij

    We now have 70+ contributed community models, which you can download and use right now! See the list here:

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  15. proslijedio/la je Tweet
    31. sij

    Transformers 2.4.0 is out 🤗 - Training transformers from scratch is now supported - New models, including *FlauBERT*, Dutch BERT, *UmBERTo* - Revamped documentation - First multi-modal model, MMBT from , text & images Bye bye Python 2 🙃

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  16. proslijedio/la je Tweet
    28. sij

    Do you speak French? 🥖 If you do, you should watch the interesting discussion we had with the awesome on "Podcast IA" – sharing this, even though it's always weird to listen to one's voice on video 😅😅

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  17. proslijedio/la je Tweet
    30. sij

    Our FlauBERT is now natively supported by 's transformers library. Many thanks to , and the Hugging Face team for the active technical support! Paper (new version will be available soon): Code:

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  18. proslijedio/la je Tweet
    29. sij

    Great itw with about SotA in NLP and the importance of openly sharing pre-trained models considering the cost and impact of training these. Also promoting my favorite DL course Fastai by ! So check it out: thanks to

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  19. 28. sij

    Do you speak French? 🥖 If you do, you should watch the interesting discussion we had with the awesome on "Podcast IA" – sharing this, even though it's always weird to listen to one's voice on video 😅😅

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  20. proslijedio/la je Tweet
    28. sij
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  21. proslijedio/la je Tweet
    27. sij

    Retrouvez ce mardi 18h, le Podcast IA 🎙️ sur l'état de l'art du NLP 🤖 avec CTO à . On parlera des applications du NLP, des Transformers ainsi que du niveau d'intelligence des modèles. Le podcast complet sera disponible ici 👉

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