Added code example

README.md

@@ -42,6 +42,26 @@ This model is a **preview release** intended for:
 - Evaluation and benchmarking  
 - Research in low- and high-resource European languages  
 
+
+## Use with transformers
+
+Quick start with `Transformers` both for GPU and CPU enabled envs:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+import torch
+
+model_name = "minilingua-ai/MiniLingua-1b-Instruct"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", dtype=torch.float16)
+gen = pipeline("text-generation", model=model, tokenizer=tokenizer, trust_remote_code=True)
+
+prompt = "Translate from Bulgarian: Здравейте! Как сте? Translation:"
+out = gen(prompt, max_new_tokens=128, do_sample=False)
+print(out[0])
+```
+
 ## Limitations
 
 - This version is a first-stage SFT release; alignment steps is not applied.