Update README.md

README.md

@@ -26,7 +26,7 @@ Colab: [link](https://colab.research.google.com/drive/1re5E26ZIDUpAx1gOCZkbF3hcw
 ```python
 from transformers import AutoTokenizer, T5ForConditionalGeneration
 
-model_name = "IlyaGusev/rut5-base-sum-gazeta"
+model_name = "IlyaGusev/rut5_base_sum_gazeta"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = T5ForConditionalGeneration.from_pretrained(model_name)
 
@@ -62,7 +62,7 @@ print(summary)
 
 | Model                     | R-1-f | R-2-f | R-L-f | chrF | BLEU |
 |:--------------------------|:------|:------|:------|:-----|:-----|
-| rut5-base-sum-gazeta      | 32.3  | 14.5  | 27.9  | 39.6 | 11.5 |
+| rut5_base_sum_gazeta      | 32.3  | 14.5  | 27.9  | 39.6 | 11.5 |
 
 Predicting all summaries:
 ```python
@@ -119,7 +119,7 @@ def predict(
             w.write(p.strip().replace("\n", " ") + "\n")
 
 gazeta_test = load_dataset('IlyaGusev/gazeta', script_version="v1.0")["test"]
-predict("IlyaGusev/rut5-base-sum-gazeta", list(gazeta_test), "t5_predictions.txt")
+predict("IlyaGusev/rut5_base_sum_gazeta", list(gazeta_test), "t5_predictions.txt")
 ```
 
 Evaluation: https://github.com/IlyaGusev/summarus/blob/master/evaluate.py