Update README.md

README.md

@@ -1,3 +1,52 @@
----
-license: apache-2.0
----
+---
+library_name: transformers
+license: apache-2.0
+language:
+- en
+datasets:
+- Skylion007/openwebtext
+metrics:
+- perplexity
+---
+
+## Using DUO
+To use the pre-trained model for masked language modeling, use the following snippet:
+```python
+from transformers import AutoModelForMaskedLM, AutoTokenizer
+
+# See the `MDLM` collection page on the hub for list of available models.
+tokenizer = transformers.AutoTokenizer.from_pretrained('gpt2')
+model = AutoModelForMaskedLM.from_pretrained('s-sahoo/duo')
+```
+For a hands-on example, check out this [Colab notebook](https://colab.research.google.com/drive/1Sf7R-dqdR6gq-H8nyZ9E3ZkyvqMTqcwq?usp=sharing).
+For more information and implementation details, visit our github repository: [DUO](https://github.com/s-sahoo/duo)
+
+## Model Details
+The model, which has a context length of `1024` and is similar in size to GPT2-medium with approximately `130 million` non-embedding parameters,
+was trained for 1M steps on the OpenWebText corpus.
+
+For more details, please see our paper: [The Diffusion Duality](https://openreview.net/forum?id=CB0Ub2yXjC).
+
+
+
+## Citation
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+Please cite our work using the bibtex below:
+
+**BibTeX:**
+
+```
+@inproceedings{
+sahoo2025the,
+title={The Diffusion Duality},
+author={Subham Sekhar Sahoo and Justin Deschenaux and Aaron Gokaslan and Guanghan Wang and Justin T Chiu and Volodymyr Kuleshov},
+booktitle={ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy},
+year={2025},
+url={https://openreview.net/forum?id=CB0Ub2yXjC}
+}
+```
+
+
+## Model Card Contact
+Subham Sekhar Sahoo ([email protected])