Update README.md

README.md

@@ -51,7 +51,7 @@ from qwen_vl_utils import process_vision_info
 
 # default: Load the model on the available device(s)
 model = Qwen2VLForConditionalGeneration.from_pretrained(
-    "Qwen/Qwen2-VL-2B-Instruct", torch_dtype="auto", device_map="auto"
+    "prithivMLmods/Qwen2-VL-OCR-2B-Instruct", torch_dtype="auto", device_map="auto"
 )
 
 # We recommend enabling flash_attention_2 for better acceleration and memory saving, especially in multi-image and video scenarios.
@@ -63,7 +63,7 @@ model = Qwen2VLForConditionalGeneration.from_pretrained(
 # )
 
 # default processer
-processor = AutoProcessor.from_pretrained("Qwen/Qwen2-VL-2B-Instruct")
+processor = AutoProcessor.from_pretrained("prithivMLmods/Qwen2-VL-OCR-2B-Instruct")
 
 # The default range for the number of visual tokens per image in the model is 4-16384. You can set min_pixels and max_pixels according to your needs, such as a token count range of 256-1280, to balance speed and memory usage.
 # min_pixels = 256*28*28