huggingtweets
/

elonmusk

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----
-language: en
-thumbnail: https://www.huggingtweets.com/elonmusk/1605484001606/predictions.png
-tags:
-- huggingtweets
-widget:
-- text: "My dream is"
----
-<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/[email protected]/dist/typography.min.css">
-<style>
-@media (prefers-color-scheme: dark) {
-  .prose { color: #E2E8F0 !important; }
-  .prose h2, .prose h3, .prose a, .prose thead { color: #F7FAFC !important; }
-}
-</style>
-<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/1295975423654977537/dHw9JcrK_400x400.jpg')">
-</div>
-<div style="margin-top: 8px; font-size: 19px; font-weight: 800">Elon Musk 🤖 AI Bot </div>
-<div style="font-size: 15px; color: #657786">@elonmusk 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 [@elonmusk's tweets](https://twitter.com/elonmusk).
-<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'>3217</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'>225</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'>788</td>
-</tr>
-<tr style='border-width:0'>
-<td style='border-width:0'>Tweets kept</td>
-<td style='border-width:0'>2204</td>
-</tr>
-</tbody>
-</table>
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3q6jf2y4/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 @elonmusk's tweets.
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2o4q97s3) for full transparency and reproducibility.
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2o4q97s3/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/elonmusk'</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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