# Model

The `segment-any-text/sat-12l-sm` model is a part of the Segment Any Text (SAT) framework, specifically utilized within the [WTPSplit](https://github.com/segment-any-text/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

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

### TensorRT

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


# Reference
1. [Github](https://github.com/pytheralab/sati/tree/main) 
2. [Library and the WtP models](https://github.com/segment-any-text/wtpsplit)