NIN-Language-v1
Recognize the language before the next step.
Upcoming model. Capabilities describe our plans; weights and inference are not available.
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From source to something useful.
Illustrative example, authored by NIN. This is not a live model prediction.
- 01 / SOURCE
Text
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- 02 / FOCUSED MODEL
NIN-Language-v1
Identify the language used in text.
Planned capability - 03 / REVIEW
Language label
This model is planned for text, not raw audio. Short snippets and mixed-language text need separate evaluation.
Inspect the example input and output
Text
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Language label
English
Recognize the language before the next step.
Identify language and mixed-language content in text to choose suitable rewrite and workflow paths. Indian languages are part of the roadmap.
Identify the language used in text.
Recognize mixed-language content for suitable workflow selection.
Evaluate Indian-language coverage for rewriting and text processing.
On-device / private-hosted
Built around your workflow.
On-device execution in NIN products and private hosting for organisational workflows are intended deployment options.
Details after evaluation.
Model size, hardware requirements, supported formats, licensing and measured performance will be documented when available. No release date is announced.
Where could NIN-Language-v1 help?
Tell us about your workflow, the data it uses and what a useful result would look like. Discuss an evaluation partnership with NIN.
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