Update ML Intern artifact metadata

README.md

@@ -1,3 +1,7 @@
+---
+tags:
+- ml-intern
+---
 # Multimodal Fraudulent Paper Detection Framework
 
 A deep learning system that detects fraudulent scientific papers by analyzing **text**, **images**, **tabular data**, and **metadata** simultaneously. It also identifies **paper mills** through clustering analysis.
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 ## License
 
 MIT License
+
+<!-- ml-intern-provenance -->
+## Generated by ML Intern
+
+This model repository was generated by [ML Intern](https://github.com/huggingface/ml-intern), an agent for machine learning research and development on the Hugging Face Hub.
+
+- Try ML Intern: https://smolagents-ml-intern.hf.space
+- Source code: https://github.com/huggingface/ml-intern
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "pangweijlu/multimodal-fraud-detection"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+```
+
+For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class.