pythera
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sat

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Model

The segment-any-text/sat-12l-sm model is a part of the Segment Any Text (SAT) framework, specifically utilized within the WTPSplit project. This model enables efficient and flexible text segmentation by leveraging XML-Roberta architectures.

Available Model Types

We provide multiple formats of the sat-12l-sm model:

ONNX

Default: Standard ONNX model for general use.
Optimized: Performance-enhanced version with improved inference speed.

TensorRT

FP32: Floating-point precision model, ensuring high accuracy.
FP32+INT8: Mixed precision (FP32 and INT8) model for optimized inference speed with reduced memory footprint.

Reference

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Safetensors

Model size

277M params

Tensor type

F32

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