tinysafe-2 and tinysafe-1
These two tools are ecosystem siblings, representing different scales of the same model architecture, with the 141M parameter DeBERTa-v3 model likely offering higher accuracy and more detailed multi-label categories compared to the smaller 71M parameter DeBERTa-v3-xsmall, which prioritizes sub-2ms inference speed.
Maintenance
13/25
Adoption
0/25
Maturity
9/25
Community
0/25
Maintenance
10/25
Adoption
2/25
Maturity
9/25
Community
0/25
Stars: —
Forks: —
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 2
Forks: —
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No Package
No Dependents
No Package
No Dependents
About tinysafe-2
premiouhxu4525/tinysafe-2
Classify text as safe or unsafe using a 141M parameter DeBERTa-v3 model with detailed multi-label categories for content moderation.
About tinysafe-1
jdleo/tinysafe-1
71M parameter safety classifier (DeBERTa-v3-xsmall). Dual-head: binary safe/unsafe + 7 category labels. Sub-2ms inference.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work