py313-pylingual-v1.3-segmenter

syssec-utd/py313-pylingual-v1.3-segmenter

Token Classification108M parameterstransformers
Tracked by OpenModelStats since September 4, 2026View on Hugging Face ↗
Downloads 30D
8,873
Total downloads
101.5K
Gained 7D
+3,515(increase)
3.6%(up) vs baseline
Gained 30D
—
Likes
0
+0 in 7D
Rank · tracked models
#8,665
127(down 127 places)this week
Parameters
108M
Last source update
Aug 30, 2025
Momentum
64.5
  • py313-pylingual-v1.3-segmenter gained 3,515 downloads during the last seven tracked days.
  • It moved from #618 to #623 among tracked Token Classification models this week.

Downloads over time

Daily gain between consecutive observations

Likes over time

Rank among tracked models

Lower is better

Overview

py313-pylingual-v1.3-segmenter is a token classification model published by syssec-utd. OpenModelStats has tracked the model since Sep 4, 2026, most recently observing it Oct 4, 2026.

Published
Aug 30, 2025
Last updated
Aug 30, 2025
Library
transformers
License
—
Task
Token Classification
Parameters
108,493,827
Spaces
—
Derivative models
—
Velocity 7D/day
502
transformerstensorboardsafetensorsrobertatoken-classificationgenerated_from_trainerbase_model:syssec-utd/py313-pylingual-v1.3-mlmbase_model:finetune:syssec-utd/py313-pylingual-v1.3-mlmendpoints_compatibleregion:us

Publisher

syssec-utdView publisher statistics →

Derived from syssec-utd/py313-pylingual-v1.3-mlm (reported by the source; parent not yet tracked).

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syssec-utd/py313-pylingual-v1.3-segmenter — Downloads, Growth & Stats | OpenModelStats