Fix deepsparse readme

README.md

@@ -97,15 +97,17 @@ To look up arguments run: `deepsparse.server --help`.
 **⭐ Multiple Models ⭐**
 To serve multiple models in your deployment you can easily build a `config.yaml`. In the example below, we define two BERT models in our configuration for the question answering task:
 
-    models:
+```yaml
+models:
     - task: question_answering
-        model_path: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/base-none
-        batch_size: 1
-        alias: question_answering/dense
+      model_path: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/base-none
+      batch_size: 1
+      alias: question_answering/base
     - task: question_answering
-        model_path: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/pruned_quant-aggressive_95
-        batch_size: 1
-        alias: question_answering/sparse_quantized
+      model_path: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/pruned_quant-aggressive_95
+      batch_size: 1
+      alias: question_answering/pruned_quant
+```
 
 Finally, after your `config.yaml` file is built, run the server with the config file path as an argument:
 ```bash

src/deepsparse/server/README.md

@@ -89,16 +89,16 @@ __ __
 To serve multiple models you can build a `config.yaml` file. 
 In the sample YAML file below, we are defining two BERT models to be served by the `deepsparse.server` for the **question answering** task:
 
-```
+```yaml
 models:
     - task: question_answering
-        model_path: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/base-none
-        batch_size: 1
-        alias: question_answering/base
+      model_path: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/base-none
+      batch_size: 1
+      alias: question_answering/base
     - task: question_answering
-        model_path: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/pruned_quant-aggressive_95
-        batch_size: 1
-        alias: question_answering/pruned_quant
+      model_path: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/pruned_quant-aggressive_95
+      batch_size: 1
+      alias: question_answering/pruned_quant
 ```
 You can now run the server with the config file path passed in the `--config_file` argument: