add readme

README.md

@@ -0,0 +1,32 @@
+---
+language:
+- th
+pipeline_tag: summarization
+tags:
+- summarization
+- pegasus_x
+---
+This repository features a fine-tuned Pegasus X model designed for summarizing Thai text. The architecture of the model is based on the Pegasus X model.
+
+# Library 
+
+```
+pip install sentencepiece  
+pip install transformers
+```
+
+# Example
+```python
+from transformers import PegasusForConditionalGeneration, AutoTokenizer
+
+model = PegasusForConditionalGeneration.from_pretrained("satjawat/pegasus-x-thai-sum")
+tokenizer = AutoTokenizer.from_pretrained("satjawat/pegasus-x-thai-sum")
+
+new_input_string = "ข้อความทดสอบ"
+new_input_ids = tokenizer(new_input_string.lower(), return_tensors="pt").input_ids
+summary_ids = model.generate(new_input_ids, max_length=50, num_beams=6, length_penalty=2.0, early_stopping=True)
+summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
+
+print("Input:", new_input_string)
+print("Generated Summary:", summary)
+```