Sri-Vigneshwar-DJ/Apollo-LMMs-Apollo-7B-t32
Video-Text-to-Text
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vibhu
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NLP, Vision ML, Efficient Model Operations
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google/gemma-3-27b-it:How to eval the video/image sequences?
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Sri-Vigneshwar-DJ/Apollo-LMMs-Apollo-7B-t32
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How to eval the video/image sequences?
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#69 opened about 2 months ago
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lkllkl
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3 months ago
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fdaudens's
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5 months ago
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3457
What if AI becomes as ubiquitous as the internet, but runs locally and transparently on our devices?
Fascinating TED talk by @thomwolf on open source AI and its future impact.
Imagine this for AI: instead of black box models running in distant data centers, we get transparent AI that runs locally on our phones and laptops, often without needing internet access. If the original team moves on? No problem - resilience is one of the beauties of open source. Anyone (companies, collectives, or individuals) can adapt and fix these models.
This is a compelling vision of AI's future that solves many of today's concerns around AI transparency and centralized control.
Watch the full talk here: https://www.ted.com/talks/thomas_wolf_what_if_ai_just_works
Fascinating TED talk by @thomwolf on open source AI and its future impact.
Imagine this for AI: instead of black box models running in distant data centers, we get transparent AI that runs locally on our phones and laptops, often without needing internet access. If the original team moves on? No problem - resilience is one of the beauties of open source. Anyone (companies, collectives, or individuals) can adapt and fix these models.
This is a compelling vision of AI's future that solves many of today's concerns around AI transparency and centralized control.
Watch the full talk here: https://www.ted.com/talks/thomas_wolf_what_if_ai_just_works
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lingvanex-mt's
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Dear HF Community!
Our company open-sourced machine translation models for 12 rare languages under MIT license.
You can use them freely with OpenNMT translation framework. Each model is about 110 mb and has an excellent performance, ( about 40000 characters / s on Nvidia RTX 3090 )
Download models there
@lingvanex
You can test translation quality there:
https://lingvanex.com/translate/
Our company open-sourced machine translation models for 12 rare languages under MIT license.
You can use them freely with OpenNMT translation framework. Each model is about 110 mb and has an excellent performance, ( about 40000 characters / s on Nvidia RTX 3090 )
Download models there
@lingvanex
You can test translation quality there:
https://lingvanex.com/translate/
updated
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about 3 years ago