Update README.md

README.md

@@ -108,6 +108,36 @@ This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/g
 It achieves the following results on the evaluation set:
 - Loss: 1.4456
 
+## How to use
+
+**PEFT**
+```python
+from peft import PeftModel, PeftConfig
+from transformers import AutoModelForCausalLM
+
+model_id = "MaziyarPanahi/gemma-7b-Open-Hermes-v0.1"
+
+config = PeftConfig.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained("google/gemma-7b")
+model = PeftModel.from_pretrained(model, model_id)
+```
+
+**Transformers**
+```python
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+model_id = "MaziyarPanahi/gemma-7b-Open-Hermes-v0.1"
+
+pipe = pipeline("text-generation", model=model_id)
+
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+```
+
 ## Model description
 
 More information needed