Update README.md

README.md

@@ -26,13 +26,28 @@ This repository hosts a small language model developed as part of the TinyLLM fr
 
 ## Acknowledgements
 
-We would like to acknowledge the open-source frameworks [llm.c](https://github.com/karpathy/llm.c) and [llama.cpp](https://github.com/ggerganov/llama.cpp), which were instrumental in training and testing these models.
+We want to acknowledge the open-source frameworks [llm.c](https://github.com/karpathy/llm.c) and [llama.cpp](https://github.com/ggerganov/llama.cpp) and the sensor dataset provided by SHL, which were instrumental in training and testing these models.
 
 ## Usage
 
 The model can be used in two primary ways:
 1. **With Hugging Face’s Transformers Library**
+   ```python
+   from transformers import pipeline
+   import torch
+    
+   path = "tinyllm/82M-0.4"
+   prompt = "The sea is blue but it's his red sea"
+    
+   generator = pipeline("text-generation", model=path,max_new_tokens = 30, repetition_penalty=1.3, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto")
+   print(generator(prompt)[0]['generated_text'])
+   ```
+
 2. **With llama.cpp**
+  Generate a GGUF model file using this [tool](https://github.com/ggerganov/llama.cpp/blob/master/convert_hf_to_gguf.py) and use the generated GGUF file for inferencing.
+    ```python
+    python3 convert_hf_to_gguf.py models/mymodel/
+    ```
 
 ## Disclaimer