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---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo_share.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('http://pbs.twimg.com/profile_images/573383872/img_0621_400x400.jpg')">
</div>
<div style="margin-top: 8px; font-size: 19px; font-weight: 800">Lukas Biewald 🤖 AI Bot </div>
<div style="font-size: 15px; color: #657786">@l2k 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.
To understand how the model was developed, check the [W&B report](https://bit.ly/2TGXMZf).
## Training data
The model was trained on [@l2k's tweets](https://twitter.com/l2k).
| Data | Quantity |
|-------------------|--------------|
| Tweets downloaded | 2541 |
| Retweets | 578 |
| Short tweets | 87 |
| Tweets kept | 1876 |
[Explore the data](https://app.wandb.ai/wandb/huggingtweets-dev/runs/18jzfgqc/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 @l2k's tweets.
Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets-dev/runs/2ly0pm0j) for full transparency and reproducibility.
## Intended uses & limitations
#### How to use
You can use this model directly with a pipeline for text generation:
```python
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/l2k')
generator("My dream is", max_length=50, num_return_sequences=5)
```
#### 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*
[](https://twitter.com/borisdayma)
For more details, visit the project repository.
[](https://github.com/borisdayma/huggingtweets)
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