Add how to instructions for transformers

README.md

@@ -34,6 +34,33 @@ parameters dense decoder-only Transformer model based on Llama2.
 
 Our model is designed to accelerate research on Romanian language models, serving as a building block for generative AI applications.
 
+##  Use with transformers 
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer
+
+device = "cuda"
+model_id = "faur-ai/LLMic"
+prompt = "Capitala României este"
+
+model = AutoModelForCausalLM.from_pretrained(model_id).to(device)
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+streamer = TextStreamer(tokenizer)
+
+inputs = tokenizer.encode(
+    prompt,
+    add_special_tokens=False,
+    return_tensors='pt',
+).to(device)
+
+outputs = model.generate(
+    streamer=streamer,
+    input_ids=inputs,
+    temperature=0.8,
+    do_sample=True
+)
+```
+
 ## Data Overview 
 
 ### Training Datasets