Base SaT (Segment any Text) models, to be used for sentence and paragraph segmentation. Easily adaptable via LoRA.
AI & ML interests
https://arxiv.org/abs/2406.16678
SaT (Segment any Text) models, further trained on a Supervised Mixture of diverse styles and corruptions. Universal Sentence Segmentation models!
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segment-any-text/sat-1l-sm
Token Classification • 0.2B • Updated • 1.51k -
segment-any-text/sat-3l-sm
Token Classification • 0.2B • Updated • 1.82M • • 9 -
segment-any-text/sat-6l-sm
Token Classification • 0.2B • Updated • 1.49k • 3 -
segment-any-text/sat-9l-sm
Token Classification • 0.3B • Updated • 3.07k
Base SaT (Segment any Text) models, to be used for sentence and paragraph segmentation. Easily adaptable via LoRA.
SaT (Segment any Text) models, further trained on a Supervised Mixture of diverse styles and corruptions. Universal Sentence Segmentation models!
-
segment-any-text/sat-1l-sm
Token Classification • 0.2B • Updated • 1.51k -
segment-any-text/sat-3l-sm
Token Classification • 0.2B • Updated • 1.82M • • 9 -
segment-any-text/sat-6l-sm
Token Classification • 0.2B • Updated • 1.49k • 3 -
segment-any-text/sat-9l-sm
Token Classification • 0.3B • Updated • 3.07k