remove how to use models

README.md

@@ -30,41 +30,6 @@ It supports the **GGUF format**, making it ideal for running on various hardware
 - 🌍 **Supports English language**  
 - 🏗️ **Trained using Unsloth for high performance**  
 
-## Model Usage  
-
-### Install Dependencies  
-To use this model, install the required libraries:  
-```bash
-pip install transformers text-generation gguf unsloth
-```
-
-### Load the Model  
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-model_name = "deepakkumar07/Llama-3.2-3B-Instruct"
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForCausalLM.from_pretrained(model_name)
-
-input_text = "What is the capital of France?"
-inputs = tokenizer(input_text, return_tensors="pt")
-
-output = model.generate(**inputs)
-print(tokenizer.decode(output[0], skip_special_tokens=True))
-```
-
-### GGUF Inference  
-For GGUF-based inference, use **llama.cpp** or **text-generation-inference**:  
-```bash
-pip install llama-cpp-python
-```
-```python
-from llama_cpp import Llama
-
-llm = Llama(model_path="Llama-3.2-3B-Instruct.gguf")
-response = llm("Tell me a joke.")
-print(response)
-```
 
 ## License  
 This model is licensed under **Apache 2.0**.