SaT Base Models Base SaT (Segment any Text) models, to be used for sentence and paragraph segmentation. Easily adaptable via LoRA. segment-any-text/sat-1l Token Classification • Updated Sep 24, 2024 • 161 • 1 segment-any-text/sat-3l Token Classification • Updated Sep 24, 2024 • 10.8k • • 7 segment-any-text/sat-6l Token Classification • Updated Sep 24, 2024 • 68 segment-any-text/sat-9l Token Classification • Updated Sep 24, 2024 • 23
SaT Supervised Mixture (SM) Models 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 Sep 24, 2024 • 4.43k segment-any-text/sat-3l-sm Token Classification • 0.2B • Updated Sep 24, 2024 • 481k • • 12 segment-any-text/sat-6l-sm Token Classification • 0.2B • Updated Sep 24, 2024 • 2.21k • 3 segment-any-text/sat-9l-sm Token Classification • 0.3B • Updated Sep 24, 2024 • 37
SaT Base Models Base SaT (Segment any Text) models, to be used for sentence and paragraph segmentation. Easily adaptable via LoRA. segment-any-text/sat-1l Token Classification • Updated Sep 24, 2024 • 161 • 1 segment-any-text/sat-3l Token Classification • Updated Sep 24, 2024 • 10.8k • • 7 segment-any-text/sat-6l Token Classification • Updated Sep 24, 2024 • 68 segment-any-text/sat-9l Token Classification • Updated Sep 24, 2024 • 23
SaT Supervised Mixture (SM) Models 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 Sep 24, 2024 • 4.43k segment-any-text/sat-3l-sm Token Classification • 0.2B • Updated Sep 24, 2024 • 481k • • 12 segment-any-text/sat-6l-sm Token Classification • 0.2B • Updated Sep 24, 2024 • 2.21k • 3 segment-any-text/sat-9l-sm Token Classification • 0.3B • Updated Sep 24, 2024 • 37