Update README.md

README.md

@@ -237,17 +237,6 @@ output = llm(
 )
 ```
 
-#### Simple example code to load one of these GGUF models
-
-```python
-from ctransformers import AutoModelForCausalLM
-
-# Set gpu_layers to the number of layers to offload to GPU. Set to 0 if no GPU acceleration is available on your system.
-llm = AutoModelForCausalLM.from_pretrained("infosys/NT-Java-1.1B-GGUF", model_file="NT-Java-1.1B_Q4_K_M.gguf", model_type="gpt_bigcode", gpu_layers=50)
-
-print(llm("public class HelloWorld {\n    public static void main(String[] args) {"))
-```
-
 ## How to use with LangChain
 
 Here are guides on using llama-cpp-python and ctransformers with LangChain: