nli-deberta-base

cross-encoder/nli-deberta-base

Zero-Shot Classification139M parameterssentence-transformersLicense: apache-2.0
Tracked by OpenModelStats since September 5, 2026View on Hugging Face ↗
Downloads 30D
2,116
Total downloads
2.1M
Gained 7D
+374(increase)
0.0%(up) vs baseline
Gained 30D
—
Likes
17
+0 in 7D
Rank · tracked models
#20,977
178(up 178 places)this week
Parameters
139M
Last source update
Apr 15, 2025
Momentum
38.7
  • nli-deberta-base gained 374 downloads during the last seven tracked days.
  • It moved from #59 to #62 among tracked Zero-Shot Classification models this week.

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Overview

nli-deberta-base is a zero-shot classification model published by cross-encoder. OpenModelStats has tracked the model since Sep 5, 2026, most recently observing it Oct 5, 2026.

Published
Mar 2, 2022
Last updated
Apr 15, 2025
Library
sentence-transformers
License
apache-2.0
Task
Zero-Shot Classification
Parameters
139,195,139
Spaces
—
Derivative models
1
Velocity 7D/day
53
sentence-transformerspytorchonnxsafetensorsdebertatext-classificationtransformerszero-shot-classificationendataset:nyu-mll/multi_nlidataset:stanfordnlp/snlibase_model:microsoft/deberta-base

Publisher

cross-encoderView publisher statistics →

Derived from microsoft/deberta-base (reported by the source; parent not yet tracked).

Model family

Based on base-model relationships reported by the source's metadata.

Derivative models

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cross-encoder/nli-deberta-base — Downloads, Growth & Stats | OpenModelStats