Update README.md

README.md

@@ -28,7 +28,7 @@ language:
 - es
 - en
 - fr
-base_model: HiTZ/Medical-mT5-xl
+base_model: HiTZ/Medical-MT5-xl
 ---
 
 <p align="center">
@@ -38,7 +38,7 @@ base_model: HiTZ/Medical-mT5-xl
 for the Medical Domain</h2>
     <be>
 
-# Model Card for Medical MT5-XL-multitask
+# Model Card for Medical MT5-xl-multitask
 
 
 <p align="justify">
@@ -60,9 +60,9 @@ Medical MT5-xl-multitask is a version of Medical MT5 finetuned for sequence labe
         <tr>
             <th></th>
             <th><a href="https://huggingface.co/HiTZ/Medical-mT5-large">HiTZ/Medical-mT5-large</a></th>
-            <th><a href="https://huggingface.co/HiTZ/Medical-mT5-xl">HiTZ/Medical-mT5-xl</a></th>
+            <th><a href="https://huggingface.co/HiTZ/Medical-MT5-xl">HiTZ/Medical-MT5-xl</a></th>
             <th><a href="https://huggingface.co/HiTZ/Medical-mT5-large-multitask">HiTZ/Medical-mT5-large-multitask</a></th>
-            <th><a href="https://huggingface.co/HiTZ/Medical-mT5-xl-multitask">HiTZ/Medical-mT5-xl-multitask</a></th>
+            <th><a href="https://huggingface.co/HiTZ/Medical-MT5-xl-multitask">HiTZ/Medical-MT5-xl-multitask</a></th>
         </tr>
     </thead>
     <tbody>
@@ -95,8 +95,8 @@ Although you can also directly use it with  🤗 huggingface. In order to label
 import torch
 from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 
-model = AutoModelForSeq2SeqLM.from_pretrained("Medical-mT5-xl-multitask",torch_dtype=torch.bfloat16, device_map="auto")
-tokenizer = AutoTokenizer.from_pretrained("Medical-mT5-xl-multitask")
+model = AutoModelForSeq2SeqLM.from_pretrained("Medical-MT5-xl-multitask",torch_dtype=torch.bfloat16, device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("Medical-MT5-xl-multitask")
 
 input_example = "<Disease> Torsade de pointes ventricular tachycardia during low dose intermittent dobutamine treatment in a patient with dilated cardiomyopathy and congestive heart failure ."
 
@@ -119,7 +119,7 @@ print(tokenizer.decode(output[0], skip_special_tokens=True))
 - **Model type**: text2text-generation
 - **Language(s) (NLP)**: English, Spanish, French, Italian
 - **License**: apache-2.0
-- **Finetuned from model**: HiTZ/Medical-mT5-xl
+- **Finetuned from model**: HiTZ/Medical-MT5-xl
 
 
 # Ethical Statement