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README.md

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+---
+language:
+- en
+tags:
+- topic-modeling
+- story-generation
+- nlp
+- pytorch
+license: mit
+---
+
+
+# TopicNet-TopNet Integrated Model
+
+Unified Framework for Semantic Graph-Guided Topic Discovery and Neural Topic-Driven Story Generation
+
+## Model Architecture
+- **TopicNet**: Semantic graph-guided topic discovery with LSTM encoder
+- **TopNet**: Neural topic-driven story generation with cross-modal attention
+- **Cross-Modal Attention**: Aligns topic discovery with story generation
+
+## Training Results
+- Topic Loss: ~2.996
+- Story Loss: ~9.211
+- Trained on NVIDIA V100 GPU
+- 20 epochs, 200 batches/epoch
+
+## Usage
+```python
+from transformers import AutoModel, AutoTokenizer
+
+model = AutoModel.from_pretrained("your-username/topicnet-topnet-integrated")
+tokenizer = AutoTokenizer.from_pretrained("your-username/topicnet-topnet-integrated")
+```
+
+
+## Citation
+```bibtex
+@article{topicnet_topnet_2024,
+  title={Unified Framework for Semantic Graph-Guided Topic Discovery and Neural Topic-Driven Story Generation},
+  author={Your Name},
+  journal={arXiv preprint},
+  year={2024}
+}
+```