Update README.md

README.md

@@ -55,7 +55,7 @@ The training and evaluation involved 2950 pages, 245k lines of text, and almost
 
 
 #### Accuracy
-TRIDIS was trained using a encode-decoder architecture based on a fine-tuned version of the TrOCR-large handwritten (microsoft/trocr-large-handwritten) and a RoBERTa modelized on medieval texts (magistermilitum/RoBERTa_medieval).
+TRIDIS was trained using a encode-decoder architecture based on a fine-tuned version of the TrOCR-large handwritten ([microsoft/trocr-large-handwritten](https://huggingface.co/microsoft/trocr-large-handwritten)) and a RoBERTa modelized on medieval texts ([magistermilitum/RoBERTa_medieval](https://huggingface.co/magistermilitum/RoBERTa_medieval)).
 
 This final model operates in a multilingual environment (Latin, Old French, and Old Spanish) and is capable of recognizing several Latin script families (mostly Textualis and Cursiva) in documents produced circa 11th - 16th centuries.