py313-pylingual-v3-segmenter

syssec-utd/py313-pylingual-v3-segmenter

Token Classification109M parameterstransformers
Tracked by OpenModelStats since September 29, 2026View on Hugging Face ↗
Downloads 30D
3,147
Total downloads
3,175
Gained 7D
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Gained 30D
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Likes
0
Rank · tracked models
#15,763
64(up 64 places)this week
Parameters
109M
Last source update
Jul 28, 2026
  • It moved from #754 to #753 among tracked Token Classification models this week.

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Overview

py313-pylingual-v3-segmenter is a token classification model published by syssec-utd. OpenModelStats has tracked the model since Sep 29, 2026, most recently observing it Oct 6, 2026.

Published
Jul 28, 2026
Last updated
Jul 28, 2026
Library
transformers
License
—
Task
Token Classification
Parameters
108,887,043
Spaces
—
Derivative models
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Velocity 7D/day
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transformerssafetensorsrobertatoken-classificationgenerated_from_trainerbase_model:syssec-utd/py313-pylingual-v3-mlmbase_model:finetune:syssec-utd/py313-pylingual-v3-mlmendpoints_compatibleregion:us

Publisher

syssec-utdView publisher statistics →

Derived from syssec-utd/py313-pylingual-v3-mlm (reported by the source; parent not yet tracked).

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syssec-utd/py313-pylingual-v3-segmenter — Downloads, Growth & Stats | OpenModelStats