Update README.md

README.md

@@ -111,6 +111,90 @@ base_model:
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/629dff8f6daf7662067b81d7/juVLei2jy7ZNvXQ1tHRPN.png)
 
+## 💻 Usage
+```terminal
+!pip -q install git+https://github.com/huggingface/transformers
+
+```
+
+```python
+from IPython.display import HTML, display
+
+def set_css():
+  display(HTML('''
+  <style>
+    pre {
+        white-space: pre-wrap;
+    }
+  </style>
+  '''))
+get_ipython().events.register('pre_run_cell', set_css)
+
+```
+
+```python
+import torch
+import transformers
+from transformers import AutoTokenizer, MistralForCausalLM
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+model = MistralForCausalLM.from_pretrained(
+    "datatab/YugoGPT-Florida", 
+    torch_dtype="auto"
+).to(device)
+
+tokenizer = AutoTokenizer.from_pretrained("datatab/YugoGPT-Florida")
+
+```
+
+```python
+from typing import Optional
+from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
+
+
+def generate(
+    user_content: str, system_content: Optional[str] = ""
+) -> str:
+    system_content = """Ispod se nalazi uputstvo koje definiše zadatak, zajedno sa unosom koji pruža dodatni kontekst.
+    Na osnovu ovih informacija, napišite odgovor koji precizno i tačno ispunjava zahtev.
+    """
+
+    messages = [
+        {
+            "role": "system",
+            "content": system_content,
+        },
+        {"role": "user", "content": user_content},
+    ]
+
+    tokenized_chat = tokenizer.apply_chat_template(
+        messages, tokenize=True, add_generation_prompt=True, return_tensors="pt"
+    ).to("cuda")
+
+    text_streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
+    output = model.generate(
+        tokenized_chat,
+        streamer=text_streamer,
+        max_new_tokens=2048,
+        temperature=0.1,
+        repetition_penalty=1.11,
+        top_p=0.92,
+        top_k=1000,
+        pad_token_id=tokenizer.pad_token_id,
+        eos_token_id=tokenizer.eos_token_id,
+        do_sample=True,
+    )
+
+    generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
+
+```
+
+```python
+generate("Nabroj mi sve planete suncevog sistemai reci mi koja je najveca planeta")
+
+```
+
 
 
 ## 💡 Contributions Welcome!