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README.md

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+---
+language: en
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo_share.png?raw=true
+tags:
+- exbert
+- 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/1259944219881455617/asyRCk6l_400x400.jpg')">
+</div>
+<div style="margin-top: 8px; font-size: 19px; font-weight: 800">Thomas Wolf 🤖 AI Bot </div>
+<div style="font-size: 15px; color: #657786">@thom_wolf 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)!
+
+<a href="https://huggingface.co/exbert/?model=huggingtweets/thom_wolf&modelKind=autoregressive&sentence=I%20love%20huggingtweets!&layer=11">
+	<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
+</a>
+
+## How does it work?
+
+The model uses the following pipeline.
+
+![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true)
+
+To understand how the model was developed, check the [W&B report](https://bit.ly/2TGXMZf).
+
+## Training data
+
+The model was trained on [@thom_wolf's tweets](https://twitter.com/thom_wolf).
+
+| Data              | Quantity     |
+|-------------------|--------------|
+| Tweets downloaded | 1198    |
+| Retweets          | 308     |
+| Short tweets      | 69 |
+| Tweets kept       | 821  |
+
+[Explore the data](https://app.wandb.ai/wandb/huggingtweets-dev/runs/2tx1byc8/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 @thom_wolf's tweets.
+
+Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets-dev/runs/279bqvj2) 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/thom_wolf')
+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*
+
+[![Follow](https://img.shields.io/twitter/follow/borisdayma?style=social)](https://twitter.com/borisdayma)
+
+For more details, visit the project repository.
+
+[![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)