Update README.md

README.md

@@ -44,7 +44,7 @@ After, refer the path to OFA-base to `ckpt_dir`, and prepare an image for the te
 >>> patch_img = patch_resize_transform(img).unsqueeze(0)
 
 
->>> # using the generator of fairseq version
+# using the generator of fairseq version
 >>> model = OFAModel.from_pretrained(ckpt_dir, use_cache=True)
 >>> generator = sequence_generator.SequenceGenerator(
                     tokenizer=tokenizer,
@@ -58,7 +58,7 @@ After, refer the path to OFA-base to `ckpt_dir`, and prepare an image for the te
 >>> gen_output = generator.generate([model], data)
 >>> gen = [gen_output[i][0]["tokens"] for i in range(len(gen_output))]
 
->>> # using the generator of huggingface version
+# using the generator of huggingface version
 >>> model = OFAModel.from_pretrained(ckpt_dir, use_cache=False)
 >>> gen = model.generate(inputs, patch_images=patch_img, num_beams=5, no_repeat_ngram_size=3)