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--- |
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language: en |
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thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo_share.png?raw=true |
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tags: |
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- exbert |
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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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<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/1152601773330370560/UhVRDMyp_400x400.jpg')"> |
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</div> |
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<div style="margin-top: 8px; font-size: 19px; font-weight: 800">Boris Dayma 🤖 AI Bot </div> |
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<div style="font-size: 15px; color: #657786">@borisdayma 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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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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<a href="https://huggingface.co/exbert/?model=huggingtweets/borisdayma&modelKind=autoregressive&sentence=I%20love%20huggingtweets!&layer=11"> |
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<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png"> |
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</a> |
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## How does it work? |
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The model uses the following pipeline. |
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![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true) |
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To understand how the model was developed, check the [W&B report](https://bit.ly/2TGXMZf). |
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## Training data |
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The model was trained on [@borisdayma's tweets](https://twitter.com/borisdayma). |
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| Data | Quantity | |
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|-------------------|--------------| |
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| Tweets downloaded | 205 | |
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| Retweets | 38 | |
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| Short tweets | 1 | |
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| Tweets kept | 166 | |
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[Explore the data](https://app.wandb.ai/borisd13/huggingtweets/runs/p8skkuoj/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 @borisdayma's tweets for 4 epochs. |
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Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/borisd13/huggingtweets/runs/3e3pk4mz). |
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## Intended uses & limitations |
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#### How to use |
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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', model='huggingtweets/borisdayma') |
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generator("My dream is", max_length=50, num_return_sequences=5) |
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``` |
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#### Limitations and bias |
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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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In addition, the data present in the user's tweets further affects the text generated by the model. |
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## About |
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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/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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