MODELHugging Face

5/5

cis-lmu/glotlid

Dangme(ada)ClassificationfastTextEncoder

View Source

Model Info

Language

Dangme (ada)

Architecture

Encoder

Institution

Kargaran, Amir Hossein; Imani, Ayyoob; Yvon, Francois; Schutze, Hinrich (CIS LMU Munich)

Last Updated

11 May 2026

Intended Use Cases

Language Identification (1,600+ languages incl. ada)

License & Access

SPDX identifierApache-2.0

Open — attribution required; commercial use allowed.

Provenance

Source URL

https://huggingface.co/cis-lmu/glotlid

Fetch Timestamp

11 May 2026

Submitter

Kargaran, Amir Hossein; Imani, Ayyoob; Yvon, Francois; Schutze, Hinrich (CIS LMU Munich)

Full Record

21 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 (17/18)

iso code: ada
Model Name: cis-lmu/glotlid
Where is it hosted: HuggingFace
Link: https://huggingface.co/cis-lmu/glotlid
Year: 2023
Creator/Author(s): Kargaran, Amir Hossein; Imani, Ayyoob; Yvon, Francois; Schutze, Hinrich (CIS LMU Munich)
Paper Reference: Kargaran et al. (2023) — GlotLID: Language Identification for Low-Resource Languages. EMNLP 2023
NLP Task: Classification
Architecture: Encoder
Base Model: fastText
Fine-tuned?: No
License: Apache-2.0
Open Access: Open
Has Model Card: Yes
SOTA Tasks: Language Identification (1,600+ languages incl. ada)
Verified By: Not stated
Date Indexed: 2026-05-11
Comment: Language identification model covering 1,600+ languages including Dangme (ada). 108K downloads. fastText-based. Can detect and distinguish Dangme text from othe…

Readiness (LRS) (4/7)

model id: cis-lmu-glotlid-ada
Model Type: OtherderivedHugging Face card: pipeline_tag
Training Data Sources: GlotLID multilingual corpus (1,600+ languages)
Benchmark Used: Not stated
Benchmark Score: Not stated
Benchmark Date: Not stated
Status: Activederivedupdated within 3 years

Readiness Score Breakdown

5/5

Data Coverage96%

Model Availability100%

Benchmarks100%

Documentation80%

Recency100%

Representativeness

Gender Balance

Regional Distribution

Dialect Coverage

Inclusivity

Relations Explorer link

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