Update README.md

Author: loubnabnl

README.md

@@ -74,7 +74,7 @@ inputs = tokenizer.encode("def print_hello_world():", return_tensors="pt").to("c
 outputs = model.generate(inputs)
 print(tokenizer.decode(outputs[0]))
 ```
-```python
+```bash
 >>> print(f"Memory footprint: {model.get_memory_footprint() / 1e6:.2f} MB")
 Memory footprint: 32251.33 MB
 ```
@@ -173,4 +173,4 @@ accelerate launch finetune.py \
 If you want to fine-tune on other text datasets, you need to change `dataset_text_field` argument to the name of the column containing the code/text you want to train on.
 
 # Evaluation
-To evaluate StarCoder2 and its derivatives, you can use the [BigCode-Evaluation-Harness](https://github.com/bigcode-project/bigcode-evaluation-harness) for evaluating Code LLMs.
+To evaluate StarCoder2 and its derivatives, you can use the [BigCode-Evaluation-Harness](https://github.com/bigcode-project/bigcode-evaluation-harness) for evaluating Code LLMs.