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README.md

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 ### Model Description
-This model card describes the distilled version of ProtGPT2, referred to as `protgpt2-distilled-tiny`. The distillation process for this model follows the methodology of knowledge distillation from a larger teacher model to a smaller, more efficient student model. The process combines both "Soft Loss" (Knowledge Distillation Loss) and "Hard Loss" (Cross-Entropy Loss) to ensure the student model not only generalizes like its teacher but also retains practical prediction capabilities.
+This model card describes the distilled version of [ProtGPT2](https://huggingface.co/nferruz/ProtGPT2), referred to as `protgpt2-distilled-tiny`. The distillation process for this model follows the methodology of knowledge distillation from a larger teacher model to a smaller, more efficient student model. The process combines both "Soft Loss" (Knowledge Distillation Loss) and "Hard Loss" (Cross-Entropy Loss) to ensure the student model not only generalizes like its teacher but also retains practical prediction capabilities.
 
 ### Technical Details
 **Distillation Parameters:**