Update README.md

README.md

@@ -34,13 +34,26 @@ We use state-of-the-art [Language Model Evaluation Harness](https://github.com/E
 * **Model type:**  **llama-2-7b-hf_open-platypus** is an auto-regressive language model based on the LLaMA2 transformer architecture.
 * **Language(s)**: English
 
-### Prompt Template
+### How to use:
+
+```python
+# Use a pipeline as a high-level helper
+>>> from transformers import pipeline
+>>> pipe = pipeline("text-generation", model="lgaalves/llama-2-7b-hf_open-platypus")
+>>> question = "What is a large language model?"
+>>> answer = pipe(question)
+>>> print(answer[0]['generated_text'])
+
 ```
-### Instruction:
 
-<prompt> (without the <>)
+or, you can load the model direclty using:
+
+```python
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
 
-### Response:
+tokenizer = AutoTokenizer.from_pretrained("lgaalves/llama-2-7b-hf_open-platypus")
+model = AutoModelForCausalLM.from_pretrained("lgaalves/llama-2-7b-hf_open-platypus")
 ```
 
 ### Training Dataset