julien-c HF staff commited on
Commit
19efd6d
1 Parent(s): 1986e4f

remove additional tailwind

Browse files

+ unneeded html
cc @borisdayma

Files changed (1) hide show
  1. README.md +10 -23
README.md CHANGED
@@ -7,22 +7,12 @@ widget:
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  - text: "My dream is"
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  ---
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- <link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
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-
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- <style>
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- @media (prefers-color-scheme: dark) {
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- .prose { color: #E2E8F0 !important; }
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- .prose h2, .prose h3, .prose a, .prose thead { color: #F7FAFC !important; }
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- }
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- </style>
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-
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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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  </div>
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  I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
@@ -84,11 +74,12 @@ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/r
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  You can use this model directly with a pipeline for text generation:
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- <pre><code><span style="color:#03A9F4">from</span> transformers <span style="color:#03A9F4">import</span> pipeline
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- generator = pipeline(<span style="color:#FF9800">'text-generation'</span>,
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- model=<span style="color:#FF9800">'huggingtweets/julien_c'</span>)
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- generator(<span style="color:#FF9800">"My dream is"</span>, num_return_sequences=<span style="color:#8BC34A">5</span>)</code></pre>
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-
 
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  ### Limitations and bias
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@@ -100,14 +91,10 @@ In addition, the data present in the user's tweets further affects the text gene
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  *Built by Boris Dayma*
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- </section>
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  [![Follow](https://img.shields.io/twitter/follow/borisdayma?style=social)](https://twitter.com/intent/follow?screen_name=borisdayma)
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- <section class='prose'>
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  For more details, visit the project repository.
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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 -->
 
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  - text: "My dream is"
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  ---
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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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  </div>
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  I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
 
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  You can use this model directly with a pipeline for text generation:
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+ ```python
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+ from transformers import pipeline
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+ generator = pipeline('text-generation',
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+ model='huggingtweets/julien_c')
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+ generator("My dream is", num_return_sequences=5)
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+ ```
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  ### Limitations and bias
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  *Built by Boris Dayma*
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  [![Follow](https://img.shields.io/twitter/follow/borisdayma?style=social)](https://twitter.com/intent/follow?screen_name=borisdayma)
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  For more details, visit the project repository.
 
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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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