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Update README.md

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  1. README.md +7 -5
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  ---
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  language: en
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- thumbnail: http://www.huggingtweets.com/julien_c/1600458163109/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -19,7 +19,7 @@ widget:
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  <section class='prose'>
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  <div>
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- <div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('http://pbs.twimg.com/profile_images/1108502565925326850/zPsBf2BI_400x400.png')">
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  </div>
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  <div style="margin-top: 8px; font-size: 19px; font-weight: 800">Julien Chaumond 🤖 AI Bot </div>
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  <div style="font-size: 15px; color: #657786">@julien_c bot</div>
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  </tbody>
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  </table>
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- [Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/2fzwdadh/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
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  ## Training procedure
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  The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @julien_c's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/1zl7mo7z) for full transparency and reproducibility.
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- At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/1zl7mo7z/artifacts) is logged and versioned.
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  ## Intended uses & limitations
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  </section>
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  [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
 
 
 
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  ---
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  language: en
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+ thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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  tags:
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  - huggingtweets
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  widget:
 
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  <section class='prose'>
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  <div>
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+ <div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1108502565925326850/zPsBf2BI_400x400.png')">
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  </div>
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  <div style="margin-top: 8px; font-size: 19px; font-weight: 800">Julien Chaumond 🤖 AI Bot </div>
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  <div style="font-size: 15px; color: #657786">@julien_c bot</div>
 
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  </tbody>
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  </table>
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+ [Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/2npspbl6/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
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  ## Training procedure
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  The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @julien_c's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/1dqslrcf) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/1dqslrcf/artifacts) is logged and versioned.
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  ## Intended uses & limitations
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  </section>
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  [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
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+ <!--- random size file -->