Update README.md

README.md

@@ -24,8 +24,32 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
-
+for i in range(0,14):
+    input_ids = tokenizer(
+        [WHITESPACE_HANDLER(sumariosDuplos[i])],
+        return_tensors="pt",
+        padding="max_length",
+        truncation=True,
+        max_length=512
+    )["input_ids"]
+
+    output_ids = model.generate(
+        input_ids=input_ids,
+        max_length=200,
+        min_length=75,
+        no_repeat_ngram_size=2,
+        num_beams=5
+    )[0]
+
+    summary = tokenizer.decode(
+        output_ids,
+        skip_special_tokens=True,
+        clean_up_tokenization_spaces=False
+    )
+
+    sumariosFinal.append(summary)
+    print(i,"\n",summary,"\n")
+    
 ## Intended uses & limitations
 
 More information needed