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| 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 |