Improve discoverability of 3.2 recipes (#684)

recipes/quickstart/inference/local_inference/README.md

@@ -1,5 +1,6 @@
 # Local Inference
 
+## Multimodal Inference
 For Multi-Modal inference we have added [multi_modal_infer.py](multi_modal_infer.py) which uses the transformers library
 
 The way to run this would be
@@ -7,7 +8,10 @@ The way to run this would be
 python multi_modal_infer.py --image_path "./resources/image.jpg" --prompt_text "Describe this image" --temperature 0.5 --top_p 0.8 --model_name "meta-llama/Llama-3.2-11B-Vision-Instruct"
 ```
 
+## Text-only Inference
 For local inference we have provided an [inference script](inference.py). Depending on the type of finetuning performed during training the [inference script](inference.py) takes different arguments.
+
+
 To finetune all model parameters the output dir of the training has to be given as --model_name argument.
 In the case of a parameter efficient method like lora the base model has to be given as --model_name and the output dir of the training has to be given as --peft_model argument.
 Additionally, a prompt for the model in the form of a text file has to be provided. The prompt file can either be piped through standard input or given as --prompt_file parameter.