HiTZ
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@@ -18,6 +18,7 @@ tags:
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  - medic
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  datasets:
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  - HiTZ/Multilingual-Medical-Corpus
 
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  ---
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  <p align="center">
@@ -131,7 +132,7 @@ tokenizer = AutoTokenizer.from_pretrained("HiTZ/Medical-mT5-large")
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  model = AutoModelForSeq2SeqLM.from_pretrained("HiTZ/Medical-mT5-large")
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  ```
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- The model has been trained using the T5 masked language modeling tasks. You need to finetune the model for your task.
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  <p align="center">
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  <br>
 
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  - medic
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  datasets:
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  - HiTZ/Multilingual-Medical-Corpus
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+ base_model: google/mt5-large
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  ---
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  <p align="center">
 
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  model = AutoModelForSeq2SeqLM.from_pretrained("HiTZ/Medical-mT5-large")
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  ```
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+ The model has been trained using the T5 masked language modelling tasks. You need to finetune the model for your task.
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  <p align="center">
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  <br>