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Learn & explore · FIELD GUIDE 092

Identify a Notice’s Language with mBERT

See mBERT Language Detector identify a fictional French workshop notice and display fra_Latn with a 91.0% model score. Language identification does not translate text or validate fluency. Official demo: https://webai.show/models/mbert-language-detection/

mBERT Language Detector: Identify a sentence’s language and display language codes and model scores.
From the channel’s mBERT Language Detector reel.

The useful part

mBERT Language Detector is featured here for one specific job: identify a sentence’s language and display language codes and model scores.. This guide focuses on that workflow so you can decide whether it fits your task before trying it.

THE JOB TO BE DONE

Identify a sentence’s language and display language codes and model scores.

What happened in the demo

Let’s check with mBERT Language Detector. Paste our fictional sentence into the text box. Detection runs when you stop typing. The recorded result says French, with the code fra_Latn and a displayed score of ninety-one percent. That’s a language prediction, not a translation or a fluency check. Short or mixed text can be ambiguous.

The example used in the reel

A small, specific input makes the result easier to inspect. Use the example below to understand the scope of the recorded workflow; it is not a promise that a new run will produce an identical result.

Veuillez apporter un carnet à l’atelier.

Try it yourself

  1. Load the free mBERT language detector
  2. Paste the French workshop notice
  3. Read the predicted language and FLORES code
  4. Review ambiguity before routing a message

Start with material you own or have permission to use. Save the original and compare it with the output before moving the result into a real project. If the interface has changed, follow the current official instructions linked below.

What to check before using the result

The example returned French, fra_Latn, at 91.0 percent. This is language identification, not translation or a fluency check.

Keep the task narrow on your first attempt. Check the details that matter to your use case rather than judging only whether the result looks polished. A successful short example is a useful introduction, not a benchmark of the whole product.

Access, free demos & limits

Free public browser demonstration verified on 2026-11-02: no account or payment required. An initial model download of approximately 28 MB is required; inference runs on-device. Short or mixed-language text can be ambiguous.

Availability notes refer to the dated demonstration or source check. Features, limits and sign-in requirements can change. Check the official site before starting a larger project.

Visit mBERT Language Detector ↗

Sources & context

This guide expands the channel’s recorded example and the official sources checked for that reel. Generated results are examples, not endorsements or guarantees. Read our editorial policy.