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Add back-reference to BioLORD-2022

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@@ -39,6 +39,10 @@ This model is accompanied by other models in the BioLORD-2023 series, which you
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  - [BioLORD-2023](https://huggingface.co/FremyCompany/BioLORD-2023) (best model after model averaging; this model)
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  - [BioLORD-2023-M](https://huggingface.co/FremyCompany/BioLORD-2023-M) (multilingual model; distilled from BioLORD-2023)
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  ## Training strategy
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  ### Summary of the 3 phases
 
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  - [BioLORD-2023](https://huggingface.co/FremyCompany/BioLORD-2023) (best model after model averaging; this model)
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  - [BioLORD-2023-M](https://huggingface.co/FremyCompany/BioLORD-2023-M) (multilingual model; distilled from BioLORD-2023)
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+ You can also take a look at last year's model and paper:
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+ - [BioLORD-2022](https://huggingface.co/FremyCompany/BioLORD-STAMB2-v1) (also known as BioLORD-STAMB2-v1)
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  ## Training strategy
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  ### Summary of the 3 phases