Models
MODELHugging Face
4/5

cis-lmu/glotlid

Esimbi(ags)Language IdentificationGlotLID / fastText-style classifierClassification / fastText-style LID model
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Model Info

Language
Esimbi (ags)
Architecture
Classification / fastText-style LID model
Institution
CIS LMU Munich / GlotLID authors
Last Updated
12 May 2026

Intended Use Cases

Language Identification

License & Access

SPDX identifierUnknown

License unknown — use with caution until an SPDX identifier is confirmed.

Provenance

Fetch Timestamp
12 May 2026
Submitter
CIS LMU Munich / GlotLID authors

Full Record

20 of 25 fields stated

Every column the registry tracks. Values marked derivedwere filled by a rule or read from the source's text rather than stated in its metadata; the rule or the quoted sentence is shown under the value.

Registry columns (16/18)

iso code
ags
Model Name
cis-lmu/glotlid
Where is it hosted
HuggingFace / GitHub
Link
https://huggingface.co/cis-lmu/glotlid
Year
2023
Creator/Author(s)
CIS LMU Munich / GlotLID authors
Paper Reference
https://aclanthology.org/2023.findings-emnlp.410/
NLP Task
Language Identification
Architecture
Classification / fastText-style LID model
Base Model
GlotLID / fastText-style classifier
Fine-tuned?
No
License
Not stated
Open Access
Open
Has Model Card
Yes
SOTA Tasks
Language Identification
Verified By
Not stated
Date Indexed
2026-05-12
Comment
General low-resource language identification model. Include as candidate LID support only; Esimbi / ags-specific inclusion should be verified against the curren…

Readiness (LRS) (4/7)

model id
cis-lmu-glotlid-ags
Model Type
OtherderivedHugging Face card: pipeline_tag
Training Data Sources
GlotLID multilingual corpus; V3 supports 2102 ISO-script labels
Benchmark Used
Not stated
Benchmark Score
Not stated
Benchmark Date
Not stated
Status
Activederivedupdated within 3 years

Readiness Score Breakdown

4/5
Data Coverage67%
Model Availability96%
Benchmarks100%
Documentation68%
Recency100%

Representativeness

Gender Balance
Regional Distribution
Dialect Coverage
Inclusivity
Relations Explorer link

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This is the same multilingual corpus, sliced for other languages the platform indexes it under.

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