Update README.md

README.md

@@ -33,10 +33,23 @@ SambaLingo-Turkish-Chat is a human aligned chat model trained in Turkish and Eng
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-tokenizer = AutoTokenizer.from_pretrained("sambanovasystems/SambaLingo-Turkish-Chat")
+tokenizer = AutoTokenizer.from_pretrained("sambanovasystems/SambaLingo-Turkish-Chat", use_fast=False)
 model = AutoModelForCausalLM.from_pretrained("sambanovasystems/SambaLingo-Turkish-Chat", device_map="auto", torch_dtype="auto")
 ```
 
+### Interacting with the model with pipeline
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from transformers import pipeline
+pipe = pipeline("text-generation", model="sambanovasystems/SambaLingo-Turkish-Chat", device_map="auto", use_fast=False)
+messages = [
+                {"role": "user", "content": {YOUR_QUESTION}},
+]
+prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipe(prompt)[0]
+outputs = outputs["generated_text"]
+```
+
 ### Suggested Inference Parameters
 - Temperature: 0.8
 - Repetition penalty: 1.0