Neural Network Translation Running in the Browser with Transformers-JS

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I wrote a javascript library that lets you run modern transformer neural networks from Hugging Face in the browser. It works on mobile browsers, desktop browsers, pretty much everywhere. This is a little translation web app that is able to go from English to French, German, and Romanian. When you run it the first time, it will take some time to download the neural network. After that, the browser can cache it and subsequent reloads will be faster. It’s hosted on Azure Static Web Apps to demonstrate that no logic is running on the server. The server merely provides the neural network data to be downloaded and run on the browser. Pretty cool, huh?

Visit product View on Hacker NewsAug 25, 2022

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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