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Gemma 3n (E4B) extracting key details from a train ticket directly on CPU, on-device

13,616 次观看 • 1 年前 •via X (Twitter)

10 条评论

Google AI Developers 的头像
Google AI Developers1 年前

Our latest Gemma 3n model pushes the boundaries of multimodal AI, natively understanding and processing information from images, audio, and more. See Gemma 3n in action 🧵↓

Google AI Developers 的头像
Google AI Developers1 年前

Using Gemma 3n’s advanced image understanding to parse a receipt to extract structured JSON data

Google AI Developers 的头像
Google AI Developers1 年前

Gemma 3n listening to a train announcement in German and instantly translating it into clear English text. Perfect for real-time multilingual applications, when you need them most!

Google AI Developers 的头像
Google AI Developers1 年前

Start building with Gemma 3n:

Mike Copeland 的头像
Mike Copeland1 年前

That’s a very practiced example. But looking forward to trying it out

macroiq 的头像
macroiq1 年前

Add a few biometrics and an olfactory array and you have a tricorder Building this shit

The Dude 的头像
The Dude1 年前

How to load it in the edge apk?

Stephen Harris 的头像
Stephen Harris1 年前

Uhhuh

SunsetSyntax 的头像
SunsetSyntax1 年前

That’s awesome

Hackscorpio 的头像
Hackscorpio1 年前

It is very good model I can run and finetune in my 16gb gpu. I tried it and it solved the problem for my specific use case. Other small models get lost.

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