Add pipeline tag, library name, and link to paper

README.md

@@ -1,12 +1,31 @@
 ---
 license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
 ---
 
-
 # iLLaDA-8B-Instruct
 
 iLLaDA is an 8B fully bidirectional masked diffusion language model trained from scratch with 12T pre-training tokens, an 8192-token context length, variable-length generation, and confidence-based scoring for multiple-choice evaluation.
-Inference and evaluation codes: https://github.com/ML-GSAI/LLaDA.
+
+For more details, please refer to the paper: [Improved Large Language Diffusion Models](https://huggingface.co/papers/2606.25331).
+
+Inference and evaluation codes can be found in the [LLaDA GitHub Repository](https://github.com/ML-GSAI/LLaDA).
+
+## How to Use
+
+You can load the model and tokenizer using the `transformers` library:
+
+```python
+import torch
+from transformers import AutoModel, AutoTokenizer
+
+# Load the tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained('GSAI-ML/iLLaDA-8B-Instruct', trust_remote_code=True)
+model = AutoModel.from_pretrained('GSAI-ML/iLLaDA-8B-Instruct', trust_remote_code=True, torch_dtype=torch.bfloat16)
+```
+
+For customized generation and evaluation scripts (such as `generate.py` and `chat.py`), please visit the official [GitHub repository](https://github.com/ML-GSAI/LLaDA).
 
 ## Architecture
 
@@ -35,4 +54,15 @@ Inference and evaluation codes: https://github.com/ML-GSAI/LLaDA.
 | MATH | 56.7 | 42.2 | 39.2 | 75.5 |
 | HumanEval | 65.9 | 49.4 | 55.5 | 84.8 |
 | MBPP | 58.0 | 41.0 | 58.8 | 79.2 |
-| Average | 67.1 | 54.5 | 60.2 | 77.1 |
+| Average | 67.1 | 54.5 | 60.2 | 77.1 |
+
+## Citation
+
+```bibtex
+@article{nie2025large,
+  title={Large Language Diffusion Models},
+  author={Nie, Shen and Zhu, Fengqi and You, Zebin and Zhang, Xiaolu and Ou, Jingyang and Hu, Jun and Zhou, Jun and Lin, Yankai and Wen, Ji-Rong and Li, Chongxuan},
+  journal={arXiv preprint arXiv:2502.09992},
+  year={2025}
+}
+```