| # 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) | |