Pallet

Deploy, share, and explore ML models right from your phone. (Beta)

[Pallet @PalletML]

📣 Pallet for #Android is now in Open Beta!

✨ Deploy TensorFlow models to mobile, instantly, and without code.

It's our first step towards making ML a bit more accessible. Scroll down to see how you can deploy a model to your phone in < 5 min. 👇

🔗 https://t.co/Qg5LhwPK1B

[Pallet @PalletML]

💡 Not sure what kind of images a model accepts?

Just tap See Examples to get a better idea:

[Pallet @PalletML]

⚡️ From Colab to Android in under a minute:

A quick look at deploying a real-time flower classifier with @PalletML

#NoCode #TensorFlow #Android #Flowers

[Pallet @PalletML]

@neuromusic @BecomingDataSci Thanks for checking out the model and sharing your results! Charming doggo you have there 😊 More training data would help with the second photo, and we’ll be working to improve the model over time.

[Pallet @PalletML]

🧠 With Pallet it's quick & easy to compare state-of-the-art models in the real world, like MobileNetV2 and its successor MobileNetV3 (which is up to 2x faster!)

📱 You can try them now in the app - use your own images or make predictions in real time: https://t.co/HMg9jYTjgY

[Pallet @PalletML]

ℹ️ Trained on the entire Stanford Dogs Dataset, this model can classify 120 dog breeds from around the world.

You can find the TensorFlow Lite model in the growing collection of pre-built assets ready for deployment in our Guide.

🔗 https://t.co/oqsoWSkxDk

[Pallet @PalletML]

🐕 Dog Breeds Classifier is now available on Pallet!

See if the model can identify your dog's breed - it's trained to recognize 120 of them!

📱 Try it now in real time in the app: https://t.co/dXtxK5katU

#Android #TensorFlow #MachineLearning

[Pallet @PalletML]

📒 Don’t miss our guide!

With a full Tutorial on creating #nocode smart apps with Pallet, and a Quick Start for deploying #TensorFlow models to mobile in under 5 min.

🚀 Don't have a model on hand? Just pick out one of our pre-built models & deploy!

🔗 https://t.co/Vvs1BKNhJG

[Pallet @PalletML]

@Simmie_kafaru 👍

[Pallet @PalletML]

@Simmie_kafaru @ThatGodee @BecomingDataSci Let us know how it goes! Check out the guide for a quick start 📒 https://t.co/wrgm15T68Y

[Pallet @PalletML]

@MadhuCharanM Thanks for the mention 👍

[Pallet @PalletML]

@StarTrek_Lt @BecomingDataSci Thanks for checking out the app! Glad you like the UI 💜 We’re working on making real-time inference more efficient. Really appreciate your feedback. Message us here, email [email protected], or send your thoughts through the app anytime!

[Pallet @PalletML]

Liking this glasses sketch! 😎

You can try this doodle classifier on Pallet https://t.co/TTImFl60Et

[Z on mastodon now 🦄🇨🇦🌈 @StarTrek_Lt]

@BecomingDataSci @PalletML My quick testing: earplugs and eyeglasses

[Pallet @PalletML]

Incredible cloud classifier by @BecomingDataSci!

Try it on Android: https://t.co/3kJ728ibBk

[Pallet @PalletML]

@amulpat07 Support for object detection models is definitely planned!

[Pallet @PalletML]

📣 Pallet for #Android is now in Open Beta!

✨ Deploy TensorFlow models to mobile, instantly, and without code.

It's our first step towards making ML a bit more accessible. Scroll down to see how you can deploy a model to your phone in < 5 min. 👇

🔗 https://t.co/Qg5LhwPK1B

[Pallet @PalletML]

ICYMI: Pallet is now available for everyone! Check the 🧵 for more details.

[Pallet @PalletML]

📣 Pallet for #Android is now in Open Beta!

✨ Deploy TensorFlow models to mobile, instantly, and without code.

It's our first step towards making ML a bit more accessible. Scroll down to see how you can deploy a model to your phone in < 5 min. 👇

🔗 https://t.co/Qg5LhwPK1B

[Pallet @PalletML]

📣 Pallet for #Android is now in Open Beta!

✨ Deploy TensorFlow models to mobile, instantly, and without code.

It's our first step towards making ML a bit more accessible. Scroll down to see how you can deploy a model to your phone in < 5 min. 👇

🔗 https://t.co/Qg5LhwPK1B

[Pallet @PalletML]

@anuragbhatia198 Awesome cat/dog classifier! 👌

[Anurag Bhatia @anuragbhatia198]

I recently tried and tested it and hence, can vouch for it.

@PalletML is pretty cool, indeed. Check it out.