DistilBERT-Network-Intrusion-Detection
gates04/DistilBERT-Network-Intrusion-Detection
Tracked by OpenModelStats since September 14, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 30
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1,122
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +2(increase)
- 0.2%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 4
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads.
- —
- –this week
- Parameters
- 67M
- Last source update
- Feb 2, 2025
- DistilBERT-Network-Intrusion-Detection gained 2 downloads during the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-09-14. Charts appear as daily observations accumulate.
Overview
DistilBERT-Network-Intrusion-Detection is a text classification model published by gates04. OpenModelStats has tracked the model since Sep 14, 2026, most recently observing it Sep 19, 2026.
- Published
- Feb 2, 2025
- Last updated
- Feb 2, 2025
- Library
- transformers
- License
- —
- Task
- Text Classification
- Parameters
- 66,971,928
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 0
transformerssafetensorsdistilberttext-classificationgenerated_from_trainerbase_model:gates04/DistilBERT-Network-Intrusion-Detectionbase_model:finetune:gates04/DistilBERT-Network-Intrusion-Detectiontext-embeddings-inferenceendpoints_compatibleregion:us
Publisher
gates04View publisher statistics →Derived from gates04/DistilBERT-Network-Intrusion-Detection (reported by the source; parent not yet tracked).
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