Published
Examine how to experiment with Gemma on-device, leveraging MediaPipe and TensorFlow Lite for cross-platform compatibility.
Subscribe to Google for Developers → https://goo.gle/developers
#Gemma #GemmaDeveloperDay
Subscribe to Google for Developers → https://goo.gle/developers
#Gemma #GemmaDeveloperDay
- Category
- Project
- Tags
- Google, developers, pr_pr: Core DevRel DEI;
Sign in or sign up to post comments.
Be the first to comment
Up Next
-
07:24
Demo: Gemma Scope: Sparse autoencoders on Gemma 2
-
02:53
Android GPU Inspector, Angular localization with Ivy, TensorFlow Lite Task Library, and more!
-
08:43
Demo: Post-training research with Gemma
-
01:55
Device Streaming in Android Studio, Image Generation in MediaPipe, and more developer news!
-
00:48
What kind of use cases is Gemma 1B on-device oriented for? Let’s find out.
-
07:12
Demo: Gemma on-device with MediaPipe
-
02:53
Android GPU Inspector, Angular localization with Ivy, TensorFlow Lite Task Library, and more!
-
02:02
Gemma Scope demo with Neuronpedia
-
09:37
Demo: Using Gemma with the Hugging Face ecosystem
-
07:12
Demo: Gemma 2 2B on a Jetson Orin Nano
-
06:39
Announcing TensorFlow Lite in Android
-
08:34
Demo: Deploying Gemma at dataflow scale
-
00:54
Controlling a remote-controlled car with Gemma 3n on-device
-
18:08
TensorFlow Ecosystem: Integrating TensorFlow with your infrastructure (TensorFlow Dev Summit 2017)
-
38:19
Generative AI on mobile and web with TensorFlow Lite and MediaPipe
-
13:19
Easy on-device Machine Learning with MediaPipe
-
06:37
Demo: Teach Gemma to work in YOUR language
-
08:52
Demo: Gemma data, training, and the path to improvement
-
08:12
Demo: Gemma 2 architecture: JAX, Flax, and more
-
08:12
Demo: JAX, Flax and Gemma
-
10:07
Demo: Building a Gemma chatbot with Keras
-
11:37
Demo: Rapid prototyping with Gemma and Llama.cpp
Loading...