Update README.md

README.md

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 This is the [snowflake-arctic-embed-s](https://huggingface.co/Snowflake/snowflake-arctic-embed-s) model in MLC format `q0f32`.
 The model can be used for projects [MLC-LLM](https://github.com/mlc-ai/mlc-llm) and [WebLLM](https://github.com/mlc-ai/web-llm).
 
-## Example Usage
-
-Here are some examples of using this model in MLC LLM.
-Before running the examples, please install MLC LLM by following the [installation documentation](https://llm.mlc.ai/docs/install/mlc_llm.html#install-mlc-packages).
-
-### Chat
-
-In command line, run
-```bash
-mlc_llm chat HF://mlc-ai/snowflake-arctic-embed-s-q0f32-MLC
-```
-
-### REST Server
-
-In command line, run
-```bash
-mlc_llm serve HF://mlc-ai/snowflake-arctic-embed-s-q0f32-MLC
-```
-
-### Python API
-
-```python
-from mlc_llm import MLCEngine
-
-# Create engine
-model = "HF://mlc-ai/snowflake-arctic-embed-s-q0f32-MLC"
-engine = MLCEngine(model)
-
-# Run chat completion in OpenAI API.
-for response in engine.chat.completions.create(
-    messages=[{"role": "user", "content": "What is the meaning of life?"}],
-    model=model,
-    stream=True,
-):
-    for choice in response.choices:
-        print(choice.delta.content, end="", flush=True)
-print("\n")
-
-engine.terminate()
-```
-
 ## Documentation
 
 For more information on MLC LLM project, please visit our [documentation](https://llm.mlc.ai/docs/) and [GitHub repo](http://github.com/mlc-ai/mlc-llm).