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NeoMME: an efficient Multimodal-native and Multilingual Encoder
Hugging Face introduces NeoMME, a family of 260M and 800M multilingual multimodal encoders trained from scratch with a masked discrete-diffusion objective. The model is fine-tuned for visual document retrieval and achieves high throughput. All model checkpoints are released under the Apache 2.0 license.
From the source
We introduce NeoMME , a family of 260M and 800M multilingual multimodal encoders.
huggingface.co
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