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
Organization Card
Authors of the paper Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation.
We host state-of-the-art sentence segmentation models.
models 15
segment-any-text/sat-12l-no-limited-lookahead
Token Classification • Updated • 13 • 2
segment-any-text/sat-9l-no-limited-lookahead
Token Classification • Updated • 6
segment-any-text/sat-6l-no-limited-lookahead
Token Classification • Updated • 16
segment-any-text/sat-3l-no-limited-lookahead
Token Classification • Updated • 9
segment-any-text/sat-1l-no-limited-lookahead
Token Classification • Updated • 5
segment-any-text/sat-12l
Token Classification • Updated • 1.76k • 7
segment-any-text/sat-9l
Token Classification • Updated • 13
segment-any-text/sat-6l
Token Classification • Updated • 164
segment-any-text/sat-3l
Token Classification • Updated • 14.1k • • 5
segment-any-text/sat-1l
Token Classification • Updated • 189 • 1
datasets 0
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