InLegal-Sbert

bhavyagiri/InLegal-Sbert

Sentence Similaritysentence-transformersLicense: mit
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
Downloads 30D
5,329
Total downloads
501.8K
Gained 7D
+4,501(increase)
0.9%(up) vs baseline
Gained 30D
—
Likes
2
+0 in 7D
Rank · tracked models
#11,344
146(down 146 places)this week
Parameters
—
Last source update
Oct 1, 2023
Momentum
59.1
  • InLegal-Sbert gained 4,501 downloads during the last seven tracked days.
  • It moved from #325 to #328 among tracked Sentence Similarity models this week.

Downloads over time

Cumulative total downloads observed by OpenModelStats

Likes over time

Rank among tracked models

Lower is better

Overview

InLegal-Sbert is a sentence similarity model published by bhavyagiri. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 2, 2026.

Published
Oct 1, 2023
Last updated
Oct 1, 2023
Library
sentence-transformers
License
mit
Task
Sentence Similarity
Parameters
—
Spaces
—
Derivative models
—
Velocity 7D/day
643
sentence-transformerspytorchbertfeature-extractionsentence-similaritydataset:bhavyagiri/InLegal-Sbert-Datasetlicense:mittext-embeddings-inferenceendpoints_compatibleregion:us

Similar models

Models similar to InLegal-Sbert
ModelDL 30D
all-MiniLM-L6-v2sentence-transformers242.2M
paraphrase-multilingual-MiniLM-L12-v2sentence-transformers48.9M
bge-m3BAAI35.4M
all-mpnet-base-v2sentence-transformers20.1M
nomic-embed-text-v1.5nomic-ai13.4M
multilingual-e5-smallintfloat11.8M
bhavyagiri/InLegal-Sbert — Downloads, Growth & Stats | OpenModelStats