Update README.md

README.md

@@ -23,7 +23,12 @@ For best results, use around 3-6 tags that clearly represent the core themes or
 ```
 
 ## Usage Example:
-```
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("Obrolin/Cerpen-7B-v0.1", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("Obrolin/Cerpen-7B-v0.1", trust_remote_code=True)
+
 template="""[[tag]]
 {}
 
@@ -80,6 +85,7 @@ Bertemu dengan orang-orang dan masa kecilnya membawa keajaiban ke hidupnya. Dia
 
 Dan begitulah kisah Billie Eilish, gadis yang menemukan rumahnya di kampung halamannya sendiri.
 
+
 ## Disclaimer:
 
 This model may sometimes generate outputs that are factually incorrect, biased, or offensive. Users should critically evaluate the generated content. The model's performance may vary depending on the provided tags and the complexity of the desired story.