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
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70
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1

segment-any-text/sat-9l-no-limited-lookahead
Token Classification
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15

segment-any-text/sat-6l-no-limited-lookahead
Token Classification
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8

segment-any-text/sat-3l-no-limited-lookahead
Token Classification
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14

segment-any-text/sat-1l-no-limited-lookahead
Token Classification
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18

segment-any-text/sat-12l
Token Classification
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Updated
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750
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6

segment-any-text/sat-9l
Token Classification
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24

segment-any-text/sat-6l
Token Classification
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Updated
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64

segment-any-text/sat-3l
Token Classification
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15.7k
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2

segment-any-text/sat-1l
Token Classification
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107
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1
datasets
None public yet