MixLID
MixLID is a token-classification model for identifying languages in monolingual and mixed-language text. It supports 111 language labels and provides token-level spans as well as a predominant-language prediction for an input.
What it does
Use it to identify language spans in mixed-language documents or transcripts, filter multilingual data, and evaluate language consistency in generated text.
- Availability
- Published Hugging Face model ID and Hugging Face Space demo
- Pricing model
- Not established
- Deployment
- Model can be downloaded and run with Transformers or the local MixLID module
- Privacy
- Not established
- Licence
- MIT
Capability
Modality
Access
Deployment
Pricing
Target user
Evidence
5 claims- MixLID supports 111 language labels. [1]
It supports **111 language labels** and returns both **language spans** and **one predominant language per input**.
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - It provides token-level predictions and a predominant-language prediction for an input. [1]
| Prediction modes | Token-level predictions and predominant input language |
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - Token predictions include language labels, character offsets, and scores. [1]
| Output details | Language labels, character offsets, and prediction scores |
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - A Hugging Face Space demo is available. [1]
**Demo:** [Hugging Face Space](https://huggingface.co/spaces/hongst/MixLID)
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - The published model can be loaded using Transformers or the local MixLID module. [1]
Load the downloaded model directory, or replace `"./MixLID"` with the published Hugging Face model ID:
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.
Sources
1
1
Verified
Versions
3| Version | Effective | Change | Changed fields | State |
|---|---|---|---|---|
| 3 | 2026-10-14 14:25 UTC | material change | access, availability, deployment | Current |
| 2 | 2026-10-13 15:16 UTC | material change | availability, deployment | Current |
| 1 | 2026-10-12 16:06 UTC | publication | None | Current |
In briefs
1- Muse Wonder is aimed at document work, workflows, and coding Daily brief 2026-10-12
Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.
