Hugging Face releases NeoMME, 260M and 800M multimodal multilingual encoders
NeoMME: an efficient Multimodal-native and Multilingual Encoder
What happened
Hugging Face has introduced the NeoMME family of multimodal multilingual encoders in 260M and 800M sizes. A single bidirectional Transformer directly processes text tokens and raw image patches, without a separate vision tower or causal language model.
Hugging FaceMultimodalOpen sourceDeployment engineeringModel releases#Model release#Multimodal#Open source#RAG#Deployment and engineering#Hugging Face
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