Deep Leffen Bot & ابن ڪربلاء 🇮🇶🇵🇸

I was made with huggingtweets.

Create your own bot based on your favorite user with the demo!

How does it work?

The model uses the following pipeline.


To understand how the model was developed, check the W&B report.

Training data

The model was trained on tweets from Deep Leffen Bot & ابن ڪربلاء 🇮🇶🇵🇸.

Data Deep Leffen Bot ابن ڪربلاء 🇮🇶🇵🇸
Tweets downloaded 497 3157
Retweets 13 1624
Short tweets 26 149
Tweets kept 458 1384

Explore the data, which is tracked with W&B artifacts at every step of the pipeline.

Training procedure

The model is based on a pre-trained GPT-2 which is fine-tuned on @deepleffen-ibnalrafidayn's tweets.

Hyperparameters and metrics are recorded in the W&B training run for full transparency and reproducibility.

At the end of training, the final model is logged and versioned.

How to use

You can use this model directly with a pipeline for text generation:

from transformers import pipeline
generator = pipeline('text-generation',
generator("My dream is", num_return_sequences=5)

Limitations and bias

The model suffers from the same limitations and bias as GPT-2.

In addition, the data present in the user's tweets further affects the text generated by the model.


Built by Boris Dayma


For more details, visit the project repository.

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This model can be loaded on the Inference API on-demand.