Tool profile

inseq-team/inseq

stable

Interpretability for sequence generation models 🐛 🔍

attribution-methodscaptumdeep-learningexplainable-aigenerative-aihuggingfaceinterpretabilitylanguage-generation

Velocity score

0.08/ 10

[STARS]

466

[FORKS]

[CONTRIBUTORS]

[LAST_COMMIT]

27d ago

Score breakdown

538/ 1000

frameworks · inseq-team/inseq

Velocity50%

Adoption30%

Maintenance15%

Community5%

[CODE_GROWTH]

580

[INSTALL_VEL]

496

[ACTIVITY]

437

[COMMUNITY_SIGNAL]

671

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).