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Update README.md

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@@ -56,13 +56,13 @@ from qwen_vl_utils import process_vision_info
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  # Load the merged model
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  model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
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- "YOUR_REPO_NAME/Qwen3-VL-Merged",
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  torch_dtype="auto",
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  device_map="auto"
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  )
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  # Processor (tokenizer + image/video preprocessing)
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- processor = AutoProcessor.from_pretrained("YOUR_REPO_NAME/Qwen3-VL-Merged")
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  # Example: Image + Text prompt
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  messages = [
@@ -280,7 +280,7 @@ The model supports a wide range of resolution inputs. By default, it uses the na
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  min_pixels = 256 * 28 * 28
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  max_pixels = 1280 * 28 * 28
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  processor = AutoProcessor.from_pretrained(
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- "Qwen/Qwen2.5-VL-3B-Instruct", min_pixels=min_pixels, max_pixels=max_pixels
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  )
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  ```
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  # Load the merged model
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  model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
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+ "YOUR_REPO_NAME/Qwen3-VL-1B-Merged",
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  torch_dtype="auto",
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  device_map="auto"
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  )
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  # Processor (tokenizer + image/video preprocessing)
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+ processor = AutoProcessor.from_pretrained("YOUR_REPO_NAME/Qwen3-VL-1B-Merged")
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  # Example: Image + Text prompt
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  messages = [
 
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  min_pixels = 256 * 28 * 28
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  max_pixels = 1280 * 28 * 28
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  processor = AutoProcessor.from_pretrained(
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+ "ViFortuneAIViFortuneAI/Qwen3-VL-1B-Merged", min_pixels=min_pixels, max_pixels=max_pixels
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  )
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  ```
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