Token classification AI Models

Models listed

50

Reviewed and live in this category

Worth weighing up

What goes in and out, licence terms, and whether you can host it yourself

How we treat data

Published specs only — we don't estimate numbers a vendor hasn't stated

Token classification models are a source-backed task collection in this directory. The current editorial inventory contains 25 mapped model records. Task membership is a discovery signal, not a performance ranking, deployment recommendation, or proof that every checkpoint accepts the same inputs and returns the same outputs.

Start with the model list, then open each record that matches your data, operating constraints, and intended workflow. Check the primary source, documented modalities, license, release information, and implementation notes before using a model in production.

This collection keeps unsupported pricing, availability, and benchmark claims blank. Each page remains outside the public index until an editor approves its content and related model records.

Token classification model list

Scan the table below, then open any model for pricing, limits and the full write-up.

50 models
ModelCapabilityContextInput $/1MOutput $/1MSpeed
Babelscape/wikineural-multilingual-ner
Babelscape
5.0
Davlan/bert-base-multilingual-cased-ner-hrl
Davlan
5.0
Davlan/distilbert-base-multilingual-cased-ner-hrl
Davlan
5.0
Davlan/xlm-roberta-base-ner-hrl
Davlan
5.0
dbmdz/bert-large-cased-finetuned-conll03-english
dbmdz
5.0
dslim/bert-base-NER
dslim
5.0
dslim/bert-large-NER
dslim
5.0
dslim/distilbert-NER
dslim
5.0
flair/ner-english
flair
5.0
flair/ner-english-fast
flair
5.0
flair/ner-german-large
flair
5.0
gilf/french-camembert-postag-model
gilf
5.0
gravitee-io/bert-small-pii-detection
gravitee-io
5.0
hantian/layoutreader
hantian
5.0
kredor/punctuate-all
kredor
5.0
lfcc/bert-portuguese-ner
lfcc
5.0
microsoft/llmlingua-2-bert-base-multilingual-cased-meetingbank
microsoft
5.0
obi/deid_roberta_i2b2
obi
5.0
oliverguhr/fullstop-punctuation-multilang-large
oliverguhr
5.0
openai/privacy-filter
openai
5.0
OpenMed/OpenMed-NER-AnatomyDetect-ElectraMed-109M
OpenMed
5.0
OpenMed/OpenMed-NER-BloodCancerDetect-ElectraMed-560M
OpenMed
5.0
OpenMed/OpenMed-NER-BloodCancerDetect-TinyMed-65M
OpenMed
5.0
OpenMed/OpenMed-NER-ChemicalDetect-BigMed-560M
OpenMed
5.0
OpenMed/OpenMed-NER-ChemicalDetect-ModernMed-149M
OpenMed
5.0
OpenMed/OpenMed-NER-ChemicalDetect-ModernMed-395M
OpenMed
5.0
OpenMed/OpenMed-NER-ChemicalDetect-MultiMed-568M
OpenMed
5.0
OpenMed/OpenMed-NER-DiseaseDetect-BioMed-335M
OpenMed
5.0
OpenMed/OpenMed-NER-DNADetect-SuperMedical-125M
OpenMed
5.0
OpenMed/OpenMed-NER-GenomeDetect-ModernMed-149M
OpenMed
5.0
OpenMed/OpenMed-NER-GenomeDetect-ModernMed-395M
OpenMed
5.0
OpenMed/OpenMed-NER-GenomicDetect-BigMed-560M
OpenMed
5.0
OpenMed/OpenMed-NER-GenomicDetect-PubMed-109M
OpenMed
5.0
OpenMed/OpenMed-NER-OncologyDetect-BigMed-278M
OpenMed
5.0
OpenMed/OpenMed-NER-OncologyDetect-MultiMed-568M
OpenMed
5.0
OpenMed/OpenMed-NER-OrganismDetect-BioPatient-108M
OpenMed
5.0
OpenMed/OpenMed-NER-OrganismDetect-TinyMed-82M
OpenMed
5.0
OpenMed/OpenMed-NER-PathologyDetect-TinyMed-135M
OpenMed
5.0
OpenMed/OpenMed-NER-PharmaDetect-BigMed-278M
OpenMed
5.0
OpenMed/OpenMed-NER-PharmaDetect-SuperClinical-434M
OpenMed
5.0
OpenMed/OpenMed-NER-ProteinDetect-SuperClinical-141M
OpenMed
5.0
OpenMed/OpenMed-NER-SpeciesDetect-ElectraMed-109M
OpenMed
5.0
OpenMed/OpenMed-PII-SuperClinical-Small-44M-v1
OpenMed
5.0
protectai/unbiased-toxic-roberta-onnx
protectai
5.0
segment-any-text/sat-3l-sm
segment-any-text
5.0
StanfordAIMI/stanford-deidentifier-base
StanfordAIMI
5.0
tner/roberta-large-tweetner7-all
tner
5.0
tomaarsen/span-marker-bert-base-uncased-acronyms
tomaarsen
5.0
urchade/gliner_multi-v2.1
urchade
5.0
w11wo/indonesian-roberta-base-posp-tagger
w11wo
5.0

50 models · click a column to sort

About the capability score: a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

Token classification model questions

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.