It feels like GPT-J, acts like any other GPT-J, but its Codegen-2 weights under the hood. Licence conditions are intended to be idential to original huggingface repo. CodeGen2 is a family of autoregressive language models for program synthesis, introduced in the paper: CodeGen2: Lessons for Training LLMs on Programming and Natural Languages by Erik Nijkamp, Hiroaki Hayashi, Caiming Xiong, Silvio Savarese, Yingbo Zhou. Unlike the original CodeGen model family (i.e., CodeGen1), CodeGen2 is capable of infilling, and supports more programming languages. This model can be easily loaded using the AutoModelForCausalLM functionality. For regular causal sampling, simply generate completions given the context: For infill sampling, we introduce three new special token types: : N-th span to be masked. In practice, use to where you want to sample infill. : Seperator token between the suffix and the infilled sample. See below. `: «End-Of-Mask» token that model will output at the end of infilling. You may use this token to truncate the output. For example, if we want to generate infill for the following cursor position of a function: 1. Inserting token in place of cursor position 2. Append…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: michaelfeil
Теги: gptj, fauxpilot, gpt-j, float16, endpoints_compatible
Лайков: 2 | Загрузок: 329
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
