---
title: Nigerian & Multilingual LID
emoji: 🗣️
colorFrom: pink
colorTo: yellow
sdk: gradio
sdk_version: 6.15.2
python_version: '3.13'
app_file: app.py
pinned: false
license: apache-2.0
short_description: All olaverse language-identification models in one Space
models:
  - olaverse/lid-neural-5
  - olaverse/lid-neural-5.1
  - olaverse/lid-lite-25
  - olaverse/lid-neural-25.1
  - olaverse/lid-neural-25.2
---

# Nigerian & Multilingual Language Identifier

All language-identification models published under [olaverse](https://huggingface.co/olaverse), in one Space:

- **[lid-neural-5](https://huggingface.co/olaverse/lid-neural-5)** — Nigerian-focused, 4 languages (Yoruba, Hausa, Igbo, Nigerian Pidgin)
- **[lid-neural-5.1](https://huggingface.co/olaverse/lid-neural-5.1)** — same 4 languages, sentence-level tuned on `mist-encoder-base-ng` (97.6% accuracy)
- **[lid-lite-25](https://huggingface.co/olaverse/lid-lite-25)** — fastText, CPU-only, 25 languages
- **[lid-neural-25.1](https://huggingface.co/olaverse/lid-neural-25.1)** — XLM-R, 25 languages, tuned for passages
- **[lid-neural-25.2](https://huggingface.co/olaverse/lid-neural-25.2)** — XLM-R, 25 languages, tuned for short queries

Pick a single model to test, or run text through all five at once to compare. Only one model is kept in memory at a time to stay within hardware quota.

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference