Improve model card: Add pipeline, library, and update links

README.md

@@ -5,20 +5,24 @@ tags:
 - chemistry
 - IntFold
 - biomolecular-structure-prediction
+pipeline_tag: text-to-3d
+library_name: intfold
 ---
 
 ![IntFold Cover](https://raw.githubusercontent.com/IntelliGen-AI/IntFold/main/assets/intfold-cover.png)
 
 # IntFold: A Controllable Foundation Model for General and Specialized Biomolecular Structure Prediction.
-[![HuggingFace Models](https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-Models-yellow)](https://huggingface.co/GAGABIG/CNN)
+[![HuggingFace Models](https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-Models-yellow)](https://huggingface.co/IntelliGen-AI/IntFold)
 [![PyPI](https://img.shields.io/pypi/v/intfold)](https://pypi.org/project/intfold/)
 [![License](https://img.shields.io/badge/license-Apache%202.0-blue)](LICENSE)
+[![Github](https://img.shields.io/badge/Github-Code-keygen.svg?logo=github)](https://github.com/IntelliGen-AI/IntFold)
 [![Email](https://img.shields.io/badge/Email-Contact-lightgrey?logo=gmail)](#contact-us)
 
 
 <div align="center" style="margin: 20px 0;">
   <span style="margin: 0 10px;">⚡ <a href="https://server.intfold.com">IntFold Server</a></span>
   &bull; <span style="margin: 0 10px;">📄 <a href="https://arxiv.org/abs/2507.02025">Technical Report</a></span>
+  &bull; <span style="margin: 0 10px;">🤗 <a href="https://huggingface.co/papers/2507.02025">Hugging Face Paper</a></span>
 </div>
 
 
@@ -42,16 +46,16 @@ To more complete installation instructions and usage, please refer to the [Insta
 
 ## 🔍 Inference
 
-1. **Prepare Input File**: Create a YAML file with your sequences following our [input format specification](https://github.com/IntelliGen-AI/IntFold/blob/main/docs/input_yaml_format.md)
+1.  **Prepare Input File**: Create a YAML file with your sequences following our [input format specification](https://github.com/IntelliGen-AI/IntFold/blob/main/docs/input_yaml_format.md)
 
-2. **Run Prediction**:
-   ```bash
-   intfold predict your_input.yaml --out_dir ./results
-   ```
+2.  **Run Prediction**:
+    ```bash
+    intfold predict your_input.yaml --out_dir ./results
+    ```
 
-3. **Check Results**: Find predicted structures and confidence scores in the output directory, you can also check the section of **output format** in [output documentation](https://github.com/IntelliGen-AI/IntFold/blob/main/docs/input_yaml_format.md#output-format).
+3.  **Check Results**: Find predicted structures and confidence scores in the output directory, you can also check the section of **output format** in [output documentation](https://github.com/IntelliGen-AI/IntFold/blob/main/docs/input_yaml_format.md#output-format).
 
-4. **Optional Optimization**: Enable [custom kernels](https://github.com/IntelliGen-AI/IntFold/blob/main/docs/kernels.md) for faster inference and reduced memory usage
+4.  **Optional Optimization**: Enable [custom kernels](https://github.com/IntelliGen-AI/IntFold/blob/main/docs/kernels.md) for faster inference and reduced memory usage
 
 For comprehensive usage instructions and examples, refer to the [Usage Guide](https://github.com/IntelliGen-AI/IntFold/blob/main/docs/usage.md).
 
@@ -94,7 +98,6 @@ If you use IntFold in your research, please cite our paper:
 - This repository, the implementation of **Inference Data Pipeline**(Data/Feature Processing and MSA generation tasks) referred to [Boltz-1](https://github.com/jwohlwend/boltz), and modify some codes to adapt to the input of our model.
 
 
-
 ## ⚖️ License
 
 The IntFold project, including code and model parameters, is made available under the [Apache 2.0 License](https://github.com/IntelliGen-AI/IntFold/blob/main/LICENSE), it is free for both academic research and commercial use.