NeoMME: an efficient Multimodal-native and Multilingual Encoder

Hugging Face introduces NeoMME, a new encoder that merges multimodal and multilingual capabilities with a focus on computational efficiency. The model is designed to handle diverse data types such as text and images across many languages, supporting applications that need joint visual and linguistic understanding.

Summary written by Kernelia from the original article by Hugging Face Blog. The story and its rights belong to its author.