# Short Text Generation

A Russian news headline generation model based on the T5 architecture, optimized for short news texts, capable of generating summary-style headlines with 6-11 words

A T5-small fine-tuned model for generating scientific paper abstracts, capable of extracting key information from research papers.

A fine-tuned model based on T5-small architecture, primarily used for text generation tasks, with average performance on ROUGE metrics

This is an abstract generation model trained via the AutoTrain platform, based on the BioBART architecture, suitable for text summarization tasks.

This is the Core ML version of Meta's Llama-2-7b-chat-hf model, designed specifically for evaluation and testing purposes.

A text summarization model based on FLAN-T5, suitable for automatic summarization of English texts.

A fine-tuned headline generation model based on t5-small, used to generate concise headlines from news text