Update cord_inference.py

cord_inference.py

@@ -49,9 +49,9 @@ label_list = [
 id2label = dict(enumerate(label_list))
 label2id = {v: k for k, v in enumerate(label_list)}
 
-tokenizer = LayoutLMv3TokenizerFast.from_pretrained("mp-02/layoutlmv3-finetuned-cord_100", apply_ocr=False)
-processor = LayoutLMv3Processor.from_pretrained("mp-02/layoutlmv3-finetuned-cord_100", apply_ocr=False)
-model = LayoutLMv3ForTokenClassification.from_pretrained("mp-02/layoutlmv3-finetuned-cord_100")
+tokenizer = LayoutLMv3TokenizerFast.from_pretrained("mp-02/layoutlmv3-finetuned-cord", apply_ocr=False)
+processor = LayoutLMv3Processor.from_pretrained("mp-02/layoutlmv3-finetuned-cord", apply_ocr=False)
+model = LayoutLMv3ForTokenClassification.from_pretrained("mp-02/layoutlmv3-finetuned-cord")
 
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 model.to(device)