|
--- |
|
language: en |
|
thumbnail: https://www.huggingtweets.com/weights_biases/1607115678433/predictions.png |
|
tags: |
|
- huggingtweets |
|
widget: |
|
- text: "My dream is" |
|
--- |
|
|
|
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css"> |
|
|
|
<style> |
|
@media (prefers-color-scheme: dark) { |
|
.prose { color: #E2E8F0 !important; } |
|
.prose h2, .prose h3, .prose a, .prose thead { color: #F7FAFC !important; } |
|
} |
|
</style> |
|
|
|
<section class='prose'> |
|
|
|
<div> |
|
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1101567690014056448/XxZqLgwb_400x400.png')"> |
|
</div> |
|
<div style="margin-top: 8px; font-size: 19px; font-weight: 800">Weights & Biases 🤖 AI Bot </div> |
|
<div style="font-size: 15px; color: #657786">@weights_biases 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://app.wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-model-to-generate-tweets--VmlldzoxMTY5MjI). |
|
|
|
## Training data |
|
|
|
The model was trained on [@weights_biases's tweets](https://twitter.com/weights_biases). |
|
|
|
<table style='border-width:0'> |
|
<thead style='border-width:0'> |
|
<tr style='border-width:0 0 1px 0; border-color: #CBD5E0'> |
|
<th style='border-width:0'>Data</th> |
|
<th style='border-width:0'>Quantity</th> |
|
</tr> |
|
</thead> |
|
<tbody style='border-width:0'> |
|
<tr style='border-width:0 0 1px 0; border-color: #E2E8F0'> |
|
<td style='border-width:0'>Tweets downloaded</td> |
|
<td style='border-width:0'>1206</td> |
|
</tr> |
|
<tr style='border-width:0 0 1px 0; border-color: #E2E8F0'> |
|
<td style='border-width:0'>Retweets</td> |
|
<td style='border-width:0'>516</td> |
|
</tr> |
|
<tr style='border-width:0 0 1px 0; border-color: #E2E8F0'> |
|
<td style='border-width:0'>Short tweets</td> |
|
<td style='border-width:0'>10</td> |
|
</tr> |
|
<tr style='border-width:0'> |
|
<td style='border-width:0'>Tweets kept</td> |
|
<td style='border-width:0'>680</td> |
|
</tr> |
|
</tbody> |
|
</table> |
|
|
|
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1wvlor6a/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 @weights_biases's tweets. |
|
|
|
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3p3knp6q) for full transparency and reproducibility. |
|
|
|
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3p3knp6q/artifacts) is logged and versioned. |
|
|
|
## Intended uses & limitations |
|
|
|
### How to use |
|
|
|
You can use this model directly with a pipeline for text generation: |
|
|
|
<pre><code><span style="color:#03A9F4">from</span> transformers <span style="color:#03A9F4">import</span> pipeline |
|
generator = pipeline(<span style="color:#FF9800">'text-generation'</span>, |
|
model=<span style="color:#FF9800">'huggingtweets/weights_biases'</span>) |
|
generator(<span style="color:#FF9800">"My dream is"</span>, num_return_sequences=<span style="color:#8BC34A">5</span>)</code></pre> |
|
|
|
|
|
### 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* |
|
|
|
</section> |
|
|
|
[](https://twitter.com/intent/follow?screen_name=borisdayma) |
|
|
|
<section class='prose'> |
|
For more details, visit the project repository. |
|
</section> |
|
|
|
[](https://github.com/borisdayma/huggingtweets) |
|
|
|
<!--- random size file --> |
