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New model from https://wandb.ai/wandb/huggingtweets/runs/12xpesbj

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README.md ADDED
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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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+ - text: "My dream is"
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+ ---
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+
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+ <div class="inline-flex flex-col" style="line-height: 1.5;">
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+ <div class="flex">
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+ <div
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+ style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1410799369016782849/rn80bxNq_400x400.jpg&#39;)">
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+ </div>
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+ <div
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+ style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
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+ </div>
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+ <div
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+ style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
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+ </div>
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+ </div>
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+ <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
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+ <div style="text-align: center; font-size: 16px; font-weight: 800">Arcade</div>
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+ <div style="text-align: center; font-size: 14px;">@l3gacyb3ta</div>
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+ </div>
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+
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+ I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
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+
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+ 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)!
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+
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+ ## How does it work?
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+
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+ The model uses the following pipeline.
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+
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+ ![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true)
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+
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+ To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
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+
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+ ## Training data
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+
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+ The model was trained on tweets from Arcade.
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+
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+ | Data | Arcade |
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+ | --- | --- |
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+ | Tweets downloaded | 919 |
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+ | Retweets | 283 |
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+ | Short tweets | 91 |
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+ | Tweets kept | 545 |
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+
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/77o64yn7/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
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+
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+ ## Training procedure
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+
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+ The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @l3gacyb3ta's tweets.
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+
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/12xpesbj) for full transparency and reproducibility.
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+
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/12xpesbj/artifacts) is logged and versioned.
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+
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+ ## How to use
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+
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+ You can use this model directly with a pipeline for text generation:
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+
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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/l3gacyb3ta')
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+ generator("My dream is", num_return_sequences=5)
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+ ```
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+
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+ ## Limitations and bias
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+
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+ The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
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+
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+ In addition, the data present in the user's tweets further affects the text generated by the model.
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+
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+ ## About
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+
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+ *Built by Boris Dayma*
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+
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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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+
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+ For more details, visit the project repository.
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+
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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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