Update README.md

README.md

@@ -35,4 +35,36 @@ See demo model here [notebook](https://colab.research.google.com/drive/1bcqS42M3
 - Transformers 4.40.0
 - Pytorch 2.2.1+cu121
 - Datasets 2.19.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1
+
+## Usage
+```python
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+# Load model and tokenizer
+model = AutoModelForSeq2SeqLM.from_pretrained("gaduhhartawan/indobart-base")
+tokenizer = AutoTokenizer.from_pretrained("gaduhhartawan/indobart-base")
+
+# Input article for summarization
+ARTICLE_TO_SUMMARIZE = "lorem ipsum..."
+
+# Generate summary
+input_ids = tokenizer.encode(ARTICLE_TO_SUMMARIZE, return_tensors='pt')
+summary_ids = model.generate(input_ids,
+            min_length=30,
+            max_length=150,
+            num_beams=2,
+            repetition_penalty=2.0,
+            length_penalty=0.8,
+            early_stopping=True,
+            no_repeat_ngram_size=2,
+            use_cache=True,
+            do_sample=True,
+            temperature=0.7,
+            top_k=50,
+            top_p=0.95)
+
+# Decode the summary
+summary_text = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
+print("Summary: ", summary_text)
+```