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Update README.md

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@@ -6,7 +6,7 @@ language:
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  - en
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  pipeline_tag: conversational
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  ---
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- ## What is Cadet-Tiny?
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  Inspired by Allen AI's **Cosmo-XL**, **Cadet-Tiny** is a _very small_ conversational model trained off of the **SODA** dataset. **Cadet-Tiny** is intended for inference at the edge (on something as small as a 2GB RAM Raspberry Pi).
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@@ -18,13 +18,13 @@ If you have any questions, or any comments on improvements, please contact me at
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- ## Google Colab Link
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  Here is the link to the Google Colab file, where I walk through the process of training the model and using the SODA public dataset from AI2.
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  https://colab.research.google.com/drive/1cx3Yujr_jGQkseqzXZW-2L0vEyEjds_s?usp=sharing
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- ## Get Started With Cadet-Tiny
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  Use the code snippet below to get started with Cadet-Tiny!
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@@ -134,7 +134,7 @@ if __name__ == '__main__':
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  main()
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  ```
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- ## Citations and Special Thanks
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  Special thanks to Hyunwoo Kim for discussing with me the best way to use the SODA dataset. If you haven't looked into their work with SODA, Prosocial-Dialog, or COSMO, I recommend you do so! As well, read the paper on SODA!
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  The article is listed below.
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  - en
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  pipeline_tag: conversational
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  ---
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+ # What is Cadet-Tiny?
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  Inspired by Allen AI's **Cosmo-XL**, **Cadet-Tiny** is a _very small_ conversational model trained off of the **SODA** dataset. **Cadet-Tiny** is intended for inference at the edge (on something as small as a 2GB RAM Raspberry Pi).
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+ # Google Colab Link
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  Here is the link to the Google Colab file, where I walk through the process of training the model and using the SODA public dataset from AI2.
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  https://colab.research.google.com/drive/1cx3Yujr_jGQkseqzXZW-2L0vEyEjds_s?usp=sharing
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+ # Get Started With Cadet-Tiny
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  Use the code snippet below to get started with Cadet-Tiny!
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  main()
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  ```
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+ # Citations and Special Thanks
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  Special thanks to Hyunwoo Kim for discussing with me the best way to use the SODA dataset. If you haven't looked into their work with SODA, Prosocial-Dialog, or COSMO, I recommend you do so! As well, read the paper on SODA!
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  The article is listed below.
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