formatting

README.md

@@ -336,7 +336,7 @@ model-index:
   - this param forces the model to use new vocabulary and create an abstractive summary otherwise it may l compile the best _extractive_ summary from the input provided.
 - create the pipeline object:
 
-```
+```python
 from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 from transformers import pipeline
 
@@ -361,7 +361,7 @@ summarizer = pipeline(
 
 - put words into the pipeline object:
 
-```
+```python
 wall_of_text = "your words here"
 
 result = summarizer(