readme: ---
  language: en
  thumbnail: https://www.huggingtweets.com/sedirox/1602273002412/predictions.png
  tags:
  - huggingtweets
  widget:
  - text: "My dream is"
  ---
  
  <link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
  
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    .prose { color: #E2E8F0 !important; }
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  <section class='prose'>
  
  <div>
  <div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1303165215932989440/bhO1HSOj_400x400.jpg')">
  </div>
  <div style="margin-top: 8px; font-size: 19px; font-weight: 800">Sedi 🎀 @ FFXIV: ARR & Hades 🤖 AI Bot </div>
  <div style="font-size: 15px; color: #657786">@sedirox bot</div>
  </div>
  
  I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
  
  Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
  
  ## How does it work?
  
  The model uses the following pipeline.
  
  ![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true)
  
  To understand how the model was developed, check the [W&B report](https://app.wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-model-to-generate-tweets--VmlldzoxMTY5MjI).
  
  ## Training data
  
  The model was trained on [@sedirox's tweets](https://twitter.com/sedirox).
  
  <table style='border-width:0'>
  <thead style='border-width:0'>
  <tr style='border-width:0 0 1px 0; border-color: #CBD5E0'>
  <th style='border-width:0'>Data</th>
  <th style='border-width:0'>Quantity</th>
  </tr>
  </thead>
  <tbody style='border-width:0'>
  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
  <td style='border-width:0'>Tweets downloaded</td>
  <td style='border-width:0'>3214</td>
  </tr>
  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
  <td style='border-width:0'>Retweets</td>
  <td style='border-width:0'>1267</td>
  </tr>
  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
  <td style='border-width:0'>Short tweets</td>
  <td style='border-width:0'>380</td>
  </tr>
  <tr style='border-width:0'>
  <td style='border-width:0'>Tweets kept</td>
  <td style='border-width:0'>1567</td>
  </tr>
  </tbody>
  </table>
  
  [Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/2i0i5rzl/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
  
  ## Training procedure
  
  The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @sedirox's tweets.
  
  Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/7u77mo7t) for full transparency and reproducibility.
  
  At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/7u77mo7t/artifacts) is logged and versioned.
  
  ## Intended uses & limitations
  
  ### How to use
  
  You can use this model directly with a pipeline for text generation:
  
  <pre><code><span style="color:#03A9F4">from</span> transformers <span style="color:#03A9F4">import</span> pipeline
  generator = pipeline(<span style="color:#FF9800">'text-generation'</span>,
                       model=<span style="color:#FF9800">'huggingtweets/sedirox'</span>)
  generator(<span style="color:#FF9800">"My dream is"</span>, num_return_sequences=<span style="color:#8BC34A">5</span>)</code></pre>
  
  
  ### Limitations and bias
  
  The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
  
  In addition, the data present in the user's tweets further affects the text generated by the model.
  
  ## About
  
  *Built by Boris Dayma*
  
  </section>
  
  [![Follow](https://img.shields.io/twitter/follow/borisdayma?style=social)](https://twitter.com/intent/follow?screen_name=borisdayma)
  
  <section class='prose'>
  For more details, visit the project repository.
  </section>
  
  [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
  
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