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README.md

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+---
+license: apache-2.0
+tags:
+  - pytorch
+  - deep-learning
+  - image-classification
+library_name: transformers
+---
+
+# MyModel
+
+A demonstration model repository with a complete folder structure.
+
+## Architecture
+
+The overall model architecture is illustrated below:
+
+![Architecture Diagram](docs/figures/architecture.png)
+
+## Results
+
+Quantitative evaluation results on the benchmark suite:
+
+![Results Chart](docs/figures/results.png)
+
+Full numerical results are available in [`artifacts/report/table.csv`](artifacts/report/table.csv).
+
+## Checkpoints
+
+| File | Description |
+|------|-------------|
+| `config.json` | Model configuration |
+| `model.safetensors` | Trained weights (fp32) |
+| `tokenizer_config.json` | Tokenizer settings |
+| `special_tokens_map.json` | Special token mappings |
+
+## Usage
+
+```python
+from transformers import AutoModel, AutoTokenizer
+
+model = AutoModel.from_pretrained("dongbobo/my-demo-model")
+tokenizer = AutoTokenizer.from_pretrained("dongbobo/my-demo-model")
+```
+
+## Citation
+
+```bibtex
+@misc{mymodel2024,
+  author = {dongbobo},
+  title  = {MyModel: A Demonstration Repository},
+  year   = {2024}
+}
+```