| --- |
| language: en |
| thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true |
| tags: |
| - huggingtweets |
| widget: |
| - text: "My dream is" |
| --- |
| |
| <div class="inline-flex flex-col" style="line-height: 1.5;"> |
| <div class="flex"> |
| <div |
| style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/959389610978742273/jfOMGQ1B_400x400.jpg')"> |
| </div> |
| <div |
| style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')"> |
| </div> |
| <div |
| style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')"> |
| </div> |
| </div> |
| <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div> |
| <div style="text-align: center; font-size: 16px; font-weight: 800">Greg Jackson</div> |
| <div style="text-align: center; font-size: 14px;">@g__j</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://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI). |
|
|
| ## Training data |
|
|
| The model was trained on tweets from Greg Jackson. |
|
|
| | Data | Greg Jackson | |
| | --- | --- | |
| | Tweets downloaded | 3250 | |
| | Retweets | 187 | |
| | Short tweets | 179 | |
| | Tweets kept | 2884 | |
|
|
| [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2sl53oes/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 @g__j's tweets. |
| |
| Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/stwh74do) for full transparency and reproducibility. |
| |
| At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/stwh74do/artifacts) is logged and versioned. |
| |
| ## 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/g__j') |
| generator("My dream is", 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/intent/follow?screen_name=borisdayma) |
| |
| For more details, visit the project repository. |
| |
| [](https://github.com/borisdayma/huggingtweets) |
| |
