Update README.md

README.md

@@ -84,7 +84,7 @@ model = HunYuanVLForConditionalGeneration.from_pretrained(
 with torch.no_grad():
     device = next(model.parameters()).device
     inputs = inputs.to(device)
-    generated_ids = model.generate(**inputs, max_new_tokens=1024, do_sample=False)
+    generated_ids = model.generate(**inputs, max_new_tokens=16384, do_sample=False)
 if "input_ids" in inputs:
     input_ids = inputs.input_ids
 else:
@@ -114,9 +114,9 @@ from PIL import Image
 from transformers import AutoProcessor
 
 model_path = "tencent/HunyuanOCR"
-llm = LLM(model=model_path, trust_remote_code=True)
+llm = LLM(model=model_path)
 processor = AutoProcessor.from_pretrained(model_path)
-sampling_params = SamplingParams(temperature=0, max_tokens=16384)
+sampling_params = SamplingParams(temperature=1, max_tokens=16384)
 
 img_path = "/path/to/image.jpg"
 img = Image.open(img_path)