Added a working example for using the model

README.md

@@ -19,7 +19,28 @@ Alpaca-est is an instruction dataset generated for Estonian with *gpt-3.5-turbo-
 
 ### Using the model
 
-Using the model in a conversational pipeline:
+
+
+Using the model in a text-generation pipeline:
+```
+from transformers import pipeline
+import torch
+
+pipe = pipeline("text-generation", model="tartuNLP/Llammas", torch_dtype=torch.bfloat16, device_map="auto")
+
+messages = [
+    {"role": "user", "content": "Tere!"},
+    {"role": "assistant", "content": "Tere! Kas saaksin teid kuidagi aidata?"},
+    {"role": "user", "content": "Kuidas alustada kirja kirjutamist?"}
+]
+
+prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.6, top_k=50, top_p=0.9)
+print(outputs[0]["generated_text"][len(prompt):])
+```
+
+
+Using the model in a conversational pipeline (works with transformers==4.36.2, issues with output in newer versions):
 ```
 from transformers import pipeline, Conversation
 import torch