The model was trained on tweets from Humongous Ape MP & ste 🍊 & Ninja Sex Party but AI & Keir Kevlar 🚩🕊 & The Entire Shrek Scripts (COMPLETED) & Xannon.

Data	Humongous Ape MP	ste 🍊	Ninja Sex Party but AI	Keir Kevlar 🚩🕊	The Entire Shrek Scripts (COMPLETED)	Xannon
Tweets downloaded	3247	3200	692	3226	3200	1703
Retweets	200	294	13	443	1	505
Short tweets	612	486	44	493	289	363
Tweets kept	2435	2420	635	2290	2910	835

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 @apesahoy-chai_ste-nsp_gpt2-shrekscriptlol-theofficialkeir-xannon199'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:

python

from transformers import pipeline
generator = pipeline('text-generation',
                     model='huggingtweets/apesahoy-chai_ste-nsp_gpt2-shrekscriptlol-theofficialkeir-xannon199')
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.

About

Built by Boris Dayma

For more details, visit the project repository.