MODELHugging Face

5/5

afroxlmr-large-ner-masakhaner-1.0_2.0

Chewa(nya)token-classificationXLMRobertaForTokenClassification

View Source

Model Info

Language

Chewa (nya)

Architecture

XLMRobertaForTokenClassification

Institution

masakhane

Last Updated

27 Oct 2026

Intended Use Cases

token-classification

License & Access

SPDX identifierafl-3.0

Restricted — review the source terms before use.

Provenance

Source URL

https://huggingface.co/masakhane/afroxlmr-large-ner-masakhaner-1.0_2.0

Fetch Timestamp

27 Oct 2026

Submitter

masakhane

Full Record

16 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 (13/18)

iso code: nya
Model Name: afroxlmr-large-ner-masakhaner-1.0_2.0
Where is it hosted: Hugging Face
Link: https://huggingface.co/masakhane/afroxlmr-large-ner-masakhaner-1.0_2.0
Year: 2022
Creator/Author(s): masakhane
Paper Reference: https://arxiv.org/abs/2103.11811
NLP Task: token-classification
Architecture: XLMRobertaForTokenClassificationderivedHugging Face config: architectures / model_type (replaces the library name 'transformers', kept in `library`)
Base Model: Not stated
Fine-tuned?: Not stated
License: afl-3.0
Open Access: Restricted
Has Model Card: Yes
SOTA Tasks: Not stated
Verified By: Not stated
Date Indexed: 2026-10-27
Comment: Not stated

Readiness (LRS) (3/7)

model id: afroxlmr-large-ner-masakhaner-1-0-2-0-nya
Model Type: NER
Training Data Sources: masakhaner2derivedHugging Face card: datasets
Benchmark Used: Not stated
Benchmark Score: Not stated
Benchmark Date: Not stated
Status: Not stated

Readiness Score Breakdown

5/5

Data Coverage100%

Model Availability100%

Benchmarks100%

Documentation85%

Recency100%

Representativeness

Gender Balance

Regional Distribution

Dialect Coverage

Inclusivity

Relations Explorer link

Also Available In

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

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