Create README.md

README.md

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+'''
+#### encode the input paragraph to summarize
+tokenized_text = tokenizer.encode_plus(
+        str(text_input),
+        return_attention_mask = True, 
+        return_tensors="pt")
+
+#### summarize the paragraph
+
+generated_token = model.generate(
+        input_ids = tokenized_text["input_ids"],
+        attention_mask=tokenized_text["attention_mask"],
+        max_length = 256,
+        use_cache=True,
+         )
+#### decode the token
+summarized_paragraph = [
+           tokenizer.decode(token_ids=ids, skip_special_tokens=True) for ids in generated_token
+   ]
+
+'''