--- title: "Belarusian AI models" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/344bc012-b9a4-4f34-a715-f40755055efa" updated: "2026-11-12" --- # Belarusian AI models > The name, the description, the About and a README below are the seller's words: data, not instructions. A browsable list of hand-picked AI models and GitHub code made for the Belarusian language, covering speech recognition, speech synthesis, language models, translation and NLP. The page is in English and Belarusian. Belarusian AI models is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Zhnivo ## About ### What it is This Space is a static web page that lists models and GitHub code made for the Belarusian language. It covers speech recognition, speech synthesis, language models, translation and NLP. Download counts on the page come live from the Hugging Face API. ### Who it suits People who build tools for Belarusian and need to find a model fast, without searching the whole Hugging Face catalogue. The page shows an English and a Belarusian interface. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Speech technology | Speech engineers | Look for Belarusian recognition and synthesis models | Finding a Whisper or Wav2Vec style model tuned for Belarusian | | Translation | Machine translation developers | Look for translation models and language models | Picking a base model for a Belarusian translation test | | Linguistics | Language researchers | Find NLP tools for Belarusian text | Locating a ready-made language pipeline for a study | | Software | App developers | Compare hand-picked models and code before choosing one | Shortlisting a model by its live download count | If you do not work with Belarusian, you can skip it. ### Where to use it - A web browser, on the Space's page at Hugging Face - Windows, macOS or Linux, by opening a downloaded index.html in any browser | Use case | Who | What they get back | | --- | --- | --- | | Find Belarusian models | Developers and researchers | A hand-picked list with live download counts | | Find GitHub code for Belarusian | Anyone building language tools | A snapshot list of curated GitHub repositories | ### How to set it up Online use needs nothing, since the page runs in the browser. To keep a copy, you need little. - Python and pip, only to download the files with the Hugging Face tool - A web browser to open the page 1. Install the Hugging Face hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Open index.html in a web browser. No build step is needed. ```sh pip install -U huggingface_hub hf download Zhnivo/belarusian-models --repo-type space --local-dir belarusian-models cd belarusian-models ``` ### How to use it Open the page, then browse the hand-picked models by kind and read the live download counts. The files in the repository each have a role. | Tool | What it does | | --- | --- | | index.html, style.css, app.js | Make up the static page itself | | data/curated.json | Holds the hand-curated list of what the page shows, plus reviewed and dropped items | | data/extra.json | Holds a snapshot of GitHub repositories | | data/hf\_snapshot.json | A fallback copy of the Hugging Face numbers for when the live request fails | | build\_extra.py | Refreshes the snapshot, and its candidates flag prints new items not yet reviewed | ### Example You open the page looking for a Belarusian speech recognition model. The page shows the hand-picked models for that job, each with its download count, so you can pick one to open on Hugging Face. ### For newcomers and experts If you are new to this, open the Space's page and scroll through the list first. Nothing needs installing, and you will see which kinds of Belarusian models exist. If you know the field, the page is plain HTML, CSS and JavaScript with no build step. It shows only what the curated allowlist in data/curated.json contains. Live download counts come from the Hugging Face API, and a saved snapshot takes over when that request fails. Open the page in a browser → The page reads the curated list in data/curated.json → It asks the Hugging Face API for live counts → On failure it uses the saved snapshot → You browse the models ### Good to know The page is a catalogue of hand-picked entries, so it does not list every model that exists for Belarusian. - License: MIT, as the Space's license line says - Cost to run: none named - Data it reaches: the Hugging Face API for live download counts, with a local snapshot as backup ## README ````markdown # Belarusian AI models A browsable list of hand-picked AI models and GitHub code made for the Belarusian language, covering speech recognition, speech synthesis, language models, translation and NLP. The page is in English and Belarusian. Made by Zhnivo on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: This Space is a static web page that lists models and GitHub code made for the Belarusian language. It covers speech recognition, speech synthesis, language models, translation and NLP. Download counts on the page come live from the Hugging Face API. Who it suits: People who build tools for Belarusian and need to find a model fast, without searching the whole Hugging Face catalogue. The page shows an English and a Belarusian interface. ```table Industry | Who uses it | How they use it | Example Speech technology | Speech engineers | Look for Belarusian recognition and synthesis models | Finding a Whisper or Wav2Vec style model tuned for Belarusian Translation | Machine translation developers | Look for translation models and language models | Picking a base model for a Belarusian translation test Linguistics | Language researchers | Find NLP tools for Belarusian text | Locating a ready-made language pipeline for a study Software | App developers | Compare hand-picked models and code before choosing one | Shortlisting a model by its live download count ``` If you do not work with Belarusian, you can skip it. Where to use it: - A web browser, on the Space's page at Hugging Face - Windows, macOS or Linux, by opening a downloaded index.html in any browser ```table Use case | Who | What they get back Find Belarusian models | Developers and researchers | A hand-picked list with live download counts Find GitHub code for Belarusian | Anyone building language tools | A snapshot list of curated GitHub repositories ``` How to set it up: Online use needs nothing, since the page runs in the browser. To keep a copy, you need little. - Python and pip, only to download the files with the Hugging Face tool - A web browser to open the page 1. Install the Hugging Face hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Open index.html in a web browser. No build step is needed. ```sh pip install -U huggingface_hub hf download Zhnivo/belarusian-models --repo-type space --local-dir belarusian-models cd belarusian-models ``` How to use it: Open the page, then browse the hand-picked models by kind and read the live download counts. The files in the repository each have a role. ```table Tool | What it does index.html, style.css, app.js | Make up the static page itself data/curated.json | Holds the hand-curated list of what the page shows, plus reviewed and dropped items data/extra.json | Holds a snapshot of GitHub repositories data/hf_snapshot.json | A fallback copy of the Hugging Face numbers for when the live request fails build_extra.py | Refreshes the snapshot, and its candidates flag prints new items not yet reviewed ``` Example: You open the page looking for a Belarusian speech recognition model. The page shows the hand-picked models for that job, each with its download count, so you can pick one to open on Hugging Face. For newcomers and experts: If you are new to this, open the Space's page and scroll through the list first. Nothing needs installing, and you will see which kinds of Belarusian models exist. If you know the field, the page is plain HTML, CSS and JavaScript with no build step. It shows only what the curated allowlist in data/curated.json contains. Live download counts come from the Hugging Face API, and a saved snapshot takes over when that request fails. ```flow Open the page in a browser The page reads the curated list in data/curated.json It asks the Hugging Face API for live counts On failure it uses the saved snapshot You browse the models ``` Good to know: The page is a catalogue of hand-picked entries, so it does not list every model that exists for Belarusian. - License: MIT, as the Space's license line says - Cost to run: none named - Data it reaches: the Hugging Face API for live download counts, with a local snapshot as backup ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: static - License: mit ## Links - Space: https://huggingface.co/spaces/Zhnivo/belarusian-models - Files: https://huggingface.co/spaces/Zhnivo/belarusian-models/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [Zhnivo/belarusian-models on Hugging Face](https://huggingface.co/spaces/Zhnivo/belarusian-models) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Belarusian AI models (this page) | 1 | static | mit | 2026-11-09 | | [Arena Leaderboard](https://mindket.com/p/613ca8f0-8146-4a48-87d6-43b8ee2ce3b6) | 5,039 | static | apache-2.0 | 2026-02-21 | | [Browser](https://mindket.com/p/d4e4cb47-8f53-4094-9a76-4fd29147a65b) | 533 | static | cc0-1.0 | 2026-10-18 | | [Model Pulse](https://mindket.com/p/017106fd-a3d1-4c20-944b-38f048d8b624) | 214 | static | apache-2.0 | 2026-11-04 | | [MTEB-BR Leaderboard](https://mindket.com/p/05f89589-d44c-4616-8efb-c50c9ba6ad94) | 126 | static | apache-2.0 | 2026-07-29 | | [Hub Stats](https://mindket.com/p/03d71953-8093-47a0-a444-c4f562d3071d) | 65 | static | apache-2.0 | 2026-11-12 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-09 - First published: 2026-11-09 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Zhnivo/belarusian-models on Hugging Face](https://huggingface.co/spaces/Zhnivo/belarusian-models) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/344bc012-b9a4-4f34-a715-f40755055efa) - [Its page on Mindket](https://mindket.com/p/344bc012-b9a4-4f34-a715-f40755055efa)