Update README.md

README.md

@@ -24,28 +24,36 @@ Rouge2= 16.292
 
 RougeL= 23.499
 ## Intended uses & limitations
+To use its API:
 
-More information needed
 
-To use its API:
 from transformers import BertTokenizerFast, GPT2Tokenizer, EncoderDecoderModel
 
+
 model = EncoderDecoderModel.from_pretrained("Ayham/roberta_gpt2_summarization_cnn_dailymail")
-# reuse tokenizer from bert2bert encoder-decoder model
+
+
 input_tokenizer = BertTokenizerFast.from_pretrained('bert-base-cased')
 
 
 article = """Your Input Text"""
 
+
 input_ids = input_tokenizer(article, return_tensors="pt").input_ids
+
+
 output_ids = model.generate(input_ids)
 
-# we need a gpt2 tokenizer for the output word embeddings
+
 output_tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
+
+
 print(output_tokenizer.decode(output_ids[0], skip_special_tokens=True))
 
 More information needed
 
+More information needed
+
 ## Training procedure
 
 ### Training hyperparameters