Add pipeline tag and improve metadata

Hi, I'm Niels from the community science team at Hugging Face. This PR adds the `text-generation` pipeline tag to the model metadata to help users discover it more easily. It also improves the model card layout by providing clear links to the paper, code, and project page, and adds a brief description of the GDDS framework.

README.md

@@ -1,26 +1,29 @@
 ---
-license: mit
 library_name: pytorch
+license: mit
+pipeline_tag: text-generation
 tags:
-  - gdds
-  - discrete-diffusion
-  - language-modeling
-  - research
-  - pytorch
+- gdds
+- discrete-diffusion
+- language-modeling
+- research
+- pytorch
 ---
 
 # GDDS Checkpoints
 
 Official checkpoint bundle for the paper **Generalized Discrete Diffusion from Snapshots**.
 
+Generalized Discrete Diffusion from Snapshots (GDDS) is a unified framework for discrete diffusion modeling that supports arbitrary noising processes over large discrete state spaces. It introduces a training objective based on snapshot latents rather than the entire noising path, allowing for efficient training and high-quality generation.
+
 ## Model Sources
 
-- Paper: https://huggingface.co/papers/2603.21342
-- arXiv: https://arxiv.org/abs/2603.21342
-- Code: https://github.com/ozekri/gdds
-- Project page: https://oussamazekri.fr/gdds
+- **Paper:** [Generalized Discrete Diffusion from Snapshots](https://huggingface.co/papers/2603.21342)
+- **arXiv:** [2603.21342](https://arxiv.org/abs/2603.21342)
+- **Code:** [GitHub - ozekri/gdds](https://github.com/ozekri/gdds)
+- **Project Page:** [https://oussamazekri.fr/gdds](https://oussamazekri.fr/gdds)
 
-## Included checkpoints
+## Included Checkpoints
 
 | File | Method | Notes |
 | --- | --- | --- |
@@ -35,8 +38,7 @@ Official checkpoint bundle for the paper **Generalized Discrete Diffusion from S
 
 ## Usage
 
-These files are PyTorch Lightning checkpoints intended to be used with the
-`gdds` codebase.
+These files are PyTorch Lightning checkpoints intended to be used with the [`gdds`](https://github.com/ozekri/gdds) codebase.
 
 ```bash
 git clone https://github.com/ozekri/gdds.git
@@ -44,6 +46,7 @@ cd gdds
 pip install -r requirements.txt
 pip install -e .
 
+# Example evaluation using a checkpoint
 PYTHONPATH=src python -m discrete_diffusion.evaluations.ppl_eval \
   data=openwebtext \
   model=small \
@@ -51,8 +54,7 @@ PYTHONPATH=src python -m discrete_diffusion.evaluations.ppl_eval \
   eval.checkpoint_path=/path/to/checkpoints/mdlm_500k.ckpt
 ```
 
-For sampling and other evaluations, use the same repository and pass the
-relevant checkpoint path through the evaluation config.
+For sampling and other evaluations, use the same repository and pass the relevant checkpoint path through the Hydra evaluation config.
 
 ## Citation
 
@@ -66,4 +68,4 @@ relevant checkpoint path through the evaluation config.
   primaryClass={stat.ML},
   url={https://arxiv.org/abs/2603.21342},
 }
-```
+```