Update README.md

README.md

@@ -39,8 +39,8 @@ We present MedMT5, the first open-source text-to-text multilingual model for the
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-            <th>MedMT5-Large (<a href="https://huggingface.co/HiTZ/MedMT5-large">HiTZ/MedMT5-large</a>)</th>
-            <th>MedMT5-XL (<a href="https://huggingface.co/HiTZ/MedMT5-xl">HiTZ/MedMT5-xl</a>)</th>
+            <th>MedMT5-Large (<a href="https://huggingface.co/HiTZ/Medical-mT5-large">HiTZ/Medical-mT5-large</a>)</th>
+            <th>MedMT5-XL (<a href="https://huggingface.co/HiTZ/Medical-mT5-xl">HiTZ/Medical-mT5-xl</a>)</th>
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@@ -120,8 +120,8 @@ You can load the model using
 ```python
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-tokenizer = AutoTokenizer.from_pretrained("HiTZ/MedMT5-xl")
-model = AutoModelForSeq2SeqLM.from_pretrained("HiTZ/MedMT5-xl")
+tokenizer = AutoTokenizer.from_pretrained("HiTZ/Medical-mT5-xl")
+model = AutoModelForSeq2SeqLM.from_pretrained("HiTZ/Medical-mT5-xl")
 ```
 
 The model has been trained using the T5 masked language modeling tasks. You need to finetune the model for your task.