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-models/TabRec/TableMaster/ch_PP-OCRv3_det_infer/inference.pdiparams filter=lfs diff=lfs merge=lfs -text
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app.py

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- 
+from transformers import PreTrainedModel
+from typing import Optional
+import torch
+
+class MinerUModel(PreTrainedModel):
+    def __init__(self, config):
+        super().__init__(config)
+        self.config = config
+        
+    @staticmethod
+    def load_model():
+        from model_loader import MinerUModelLoader
+        return MinerUModelLoader.load_models("./")
+        
+    def forward(self, input_data):
+        # 实现前向传播逻辑
+        pass
+
+def load_model():
+    model = MinerUModel.from_pretrained("./")
+    return model
+
+def inference(pdf_content):
+    model = load_model()
+    return model(pdf_content) 

metadata.json

@@ -2,5 +2,11 @@
   "language": ["zh", "en"],
   "license": "apache-2.0",
   "tags": ["document-conversion", "pdf-to-markdown"],
-  "pipeline_tag": "document-conversion"
+  "pipeline_tag": "document-conversion",
+  "library_name": "transformers",
+  "task_specific_params": {
+    "pdf-to-markdown": {
+      "max_length": 1024
+    }
+  }
 } 

model_index.json

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+{
+  "_name_or_path": "kitjesen/MinerU",
+  "architectures": ["MinerUModel"],
+  "model_type": "mineru",
+  "transformers_version": "4.28.0",
+  "framework": "pytorch"
+} 

tokenizer_config.json

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+{
+  "model_type": "mineru",
+  "pad_token": "[PAD]",
+  "unk_token": "[UNK]",
+  "do_lower_case": false
+}