[Code LLama] add section on vscode extension (huggingface#1429)

* [Code LLama] add section on vscode extension

* Update codellama.md

Co-authored-by: Omar Sanseviero <[email protected]>

* Update codellama.md

---------

Co-authored-by: Omar Sanseviero <[email protected]>

Author: 2 people

assets/160_codellama/vscode.png

@@ -27,6 +27,7 @@ Today, we’re excited to release:
 - Transformers integration
 - Integration with Text Generation Inference for fast and efficient production-ready inference
 - Integration with Inference Endpoints
+- Integration with VS Code extension
 - Code benchmarks
 
 Code LLMs are an exciting development for software engineers because they can boost productivity through code completion in IDEs, take care of repetitive or annoying tasks like writing docstrings, or create unit tests. 
@@ -45,6 +46,7 @@ Code LLMs are an exciting development for software engineers because they can bo
       - [Conversational Instructions](#conversational-instructions)
       - [4-bit Loading](#4-bit-loading)
     - [Using text-generation-inference and Inference Endpoints](#using-text-generation-inference-and-inference-endpoints)
+    - [Using VS Code extension](#using-vs-code-extension)
   - [Evaluation](#evaluation)
   - [Additional Resources](#additional-resources)
 
@@ -317,6 +319,12 @@ You can try out Text Generation Inference on your own infrastructure, or you can
 
 You can learn more on how to [Deploy LLMs with Hugging Face Inference Endpoints in our blog](https://huggingface.co/blog/inference-endpoints-llm). The [blog](https://huggingface.co/blog/inference-endpoints-llm) includes information about supported hyperparameters and how to stream your response using Python and Javascript.
 
+### Using VS Code extension
+
+[HF Code Autocomplete](https://marketplace.visualstudio.com/items?itemName=HuggingFace.huggingface-vscode) is a VS Code extension for testing open source code completion models. The extension was developed as part of [StarCoder project](/blog/starcoder#tools--demos) and was updated to support the medium-sized base model, [Code Llama 13B](/codellama/CodeLlama-13b-hf). Find more [here](https://github.com/huggingface/huggingface-vscode#code-llama) on how to install and run the extension with Code Llama. 
+
+![VS Code extension](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/160_codellama/vscode.png "VS Code extension")
+
 ## Evaluation
 
 Language models for code are typically benchmarked on datatsets such as HumanEval. It consists of programming challenges where the model is presented with a function signature and a docstring and is tasked to complete the function body. The proposed solution is then verified by running a set of predefined unit tests. Finally, a pass rate is reported which describes how many solutions passed all tests. The pass@1 rate describes how often the model generates a passing solution when having one shot whereas pass@10 describes how often at least one solution passes out of 10 proposed candidates.