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). This requirement arises because GENERator employs a 6-mer tokenizer. If the input sequence length is not a multiple of 6, the tokenizer will append an » (out-of-vocabulary) token to the end of the token sequence. This can result in uninformative subsequent generations, such as repeated ‘AAAAAA’. We apologize for any inconvenience this may cause and recommend adhering to the above guidelines to ensure accurate and meaningful generation results. In this repository, we present GENERator-v2, a generative genomic foundation with enhanced performance in eukaryotic domain. More technical details are provided in the GENERator-v2 technical report. Python scripts for downstream analysis are available on Github: https://github.com/GenerTeam/GENERator.
Модальности:
Генерация текста
Области применения:
Биология
Задача: Генерация текста
Автор: GenerTeam
Теги: llama, biology, genomics, long-context, custom_code, text-generation-inference, endpoints_compatible
Лайков: 4 | Загрузок: 573
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
