Model aims to generate a regex pattern given a sample string. For now, it’s only trained in non-standard iso datetimes. — Developed by: [More Information Needed] — Funded by [optional]: [More Information Needed] — Shared by [optional]: [More Information Needed] — Model type: [More Information Needed] — Language(s) (NLP): [More Information Needed] — License: [More Information Needed] — Finetuned from model [optional]: [More Information Needed] — Repository: [More Information Needed] — Paper [optional]: [More Information Needed] — Demo [optional]: [More Information Needed] Users (both direct and More information needed for further recommendations. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). — Hardware Type: [More Information Needed] — Hours used: [More Information Needed] — Cloud Provider: [More Information Needed] — Compute Region: [More Information Needed] — Carbon Emitted: [More Information Needed]
Модальности:
Генерация текста
Области применения:
Генерация кода
Задача: Генерация текста
Автор: jorgefalcon
Теги: llama, code, regex, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 13
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
