Saving-Willy/cetacean-classifier

!fffffff.png

> [!NOTE] > This model has been optimized using NVIDIA's TransformerEngine > library. Slight numerical differences may be observed between the original model and the optimized > model. For instructions on how to install TransformerEngine, please refer to the > official documentation.

Matěj Pekár, Vít Musil, Rudolf Nenutil, Petr Holub, Tomáš Brázdil

Evo2-1B-Base (Transformers port)

## Important Notice If you are using GENERator for sequence generation, please ensure that the length of each input sequence is a multiple of 6. This can be achieved by either: 1. Padding the sequence on the left with 'A' (left padding); 2. Truncating the sequence from the left (left truncation).

## Abouts In this repository, we present GENERanno-eukaryote-cds-annotator. Through comprehensive evaluations, GENERanno-cds-annotator achieves superior accuracy compared to traditional HMM-based methods (e.g., Augustus, Helixer, and recent LLM-based approaches (e.g., SegmentNT).