4. ByT5

• Model: google/byt5-small, google/byt5-base, google/byt5-large, google/byt5-xl, google/byt5-xxl
• Description: A byte-level version of T5, meaning it processes raw bytes instead of tokens, which improves its performance on languages with limited tokenization schemes or non-standard characters.
• Use cases: Multilingual tasks with uncommon languages, text normalization, or handling noisy text data.

5. T5 for Summarization (pegasus-cnn_dailymail)

• Model: google/pegasus-cnn_dailymail, a T5-based model trained specifically on summarization.
• Description: Although technically based on Pegasus, this model is close to T5 and performs very well on summarization tasks, particularly for news-style content.
• Use cases: Summarization for news articles, content distillation, and document summarization.