Base SaT (Segment any Text) models, to be used for sentence and paragraph segmentation. Easily adaptable via LoRA.
Segment any Text
non-profit
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
•
276
•
1
segment-any-text/sat-9l-no-limited-lookahead
Token Classification
•
Updated
•
37
segment-any-text/sat-6l-no-limited-lookahead
Token Classification
•
Updated
•
38
segment-any-text/sat-3l-no-limited-lookahead
Token Classification
•
Updated
•
67
segment-any-text/sat-1l-no-limited-lookahead
Token Classification
•
Updated
•
80
segment-any-text/sat-12l
Token Classification
•
Updated
•
803
•
6
segment-any-text/sat-9l
Token Classification
•
Updated
•
78
segment-any-text/sat-6l
Token Classification
•
Updated
•
126
segment-any-text/sat-3l
Token Classification
•
Updated
•
5.46k
•
2
segment-any-text/sat-1l
Token Classification
•
Updated
•
111
datasets
None public yet