alanrmacleod-karl_was_right-yaboihakim – AI Model by huggingtweets | AlphaNeural AI

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huggingtweets/
alanrmacleod-karl_was_right-yaboihakim

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text-generation

autotrain_compatible

text-generation-inference

endpoints_compatible

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🤖 AI CYBORG 🤖

Michael Parenti’s Stache 🚩☭ & Alan MacLeod & Hakim

@alanrmacleod-karl_was_right-yaboihakim

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.

pipeline

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

Training data

The model was trained on tweets from Michael Parenti’s Stache 🚩☭ & Alan MacLeod & Hakim.

Data	Michael Parenti’s Stache 🚩☭	Alan MacLeod	Hakim
Tweets downloaded	3236	3244	2415
Retweets	283	480	709
Short tweets	360	177	139
Tweets kept	2593	2587	1567

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 @alanrmacleod-karl_was_right-yaboihakim'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/alanrmacleod-karl_was_right-yaboihakim')
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

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For more details, visit the project repository.

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