Update README.md

README.md

@@ -80,8 +80,8 @@ model = AutoModelForCausalLM.from_pretrained("amornpan/openthaigpt-MedChatModelv
 input_text = "ใส่คำถามทางการแพทย์ที่นี่"
 inputs = tokenizer(input_text, return_tensors="pt")
 
-# Generate the output
-output = model.generate(**inputs)
+# Generate the output with a higher max length or max new tokens
+output = model.generate(**inputs, max_new_tokens=100, do_sample=True, temperature=0.7)
 
 # Decode and print the generated response, skipping special tokens
-print(tokenizer.decode(output[0], skip_special_tokens=True))
+print(tokenizer.decode(output[0], skip_special_tokens=True))