acknowledgements, references

app.py

@@ -111,6 +111,7 @@ if state.image_file is None:
     state.image = image
 
 # col1, col2 = st.beta_columns([6, 4])
+st.write("# Demo")
 
 if st.button("Get a random example", help="Get a random example from one of the seeded examples."):
     sample = dummy_data.sample(1).reset_index()

sections/acknowledgements.md

@@ -1,4 +1,4 @@
-## Acknowledgements
+# Acknowledgements
 We'd like to thank [Abheesht Sharma](https://huggingface.co/abheesht) for helping in the discussions in the initial phases. [Luke Melas](https://github.com/lukemelas) helped us get the cleaned CC-12M data on our TPU-VMs and we are very grateful to him.
 
 This project would not be possible without the help of [Patrick](https://huggingface.co/patrickvonplaten) and [Suraj](https://huggingface.co/valhalla) who met with us and helped us review our approach and guided us throughout the project.

sections/references.md

@@ -0,0 +1,12 @@
+# References
+- [Conceptual 12M Dataset](https://github.com/google-research-datasets/conceptual-12m)
+
+- [Hybrid CLIP Example](https://github.com/huggingface/transformers/blob/master/src/transformers/models/clip/modeling_flax_clip.py)
+
+- [mBART50 Modeling File](https://github.com/huggingface/transformers/blob/master/src/transformers/models/mbart/modeling_flax_mbart.py)
+
+- [CLIP Modeling File](https://github.com/huggingface/transformers/blob/master/src/transformers/models/clip/modeling_flax_clip.py)
+
+- [Hybrid CLIP Training Script](https://github.com/huggingface/transformers/blob/master/examples/research_projects/jax-projects/hybrid_clip/run_hybrid_clip.py)
+
+- [Summarization Training Script](https://github.com/huggingface/transformers/blob/master/examples/flax/summarization/run_summarization_flax.py)