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README.md

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 It is a truncated version of [NLLB-200-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) model 
-(6 layers instead of 12, 512 hidden dimensions instead of 1024) with 175M parameters (131M of which are embeddings).
+(6 layers instead of 12, 512 hidden dimensions instead of 1024) with 175M parameters (131M of which are token embeddings).
 
 This model was fine-tuned on the [slone/nllb-200-10M-sample](https://huggingface.co/datasets/slone/nllb-200-10M-sample) subset of the NLLB dataset
 with 175 languages, using only the samples with BLASER score above 3.5.