__emmamme__-shell_nigeria-wef – AI Model by huggingtweets | AlphaNeural AI

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huggingtweets/
emmamme-shell_nigeria-wef

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text-generation

autotrain_compatible

text-generation-inference

endpoints_compatible

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🤖 AI CYBORG 🤖

World Economic Forum & emma & Shell Nigeria

@__emmamme__-shell_nigeria-wef

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 World Economic Forum & emma & Shell Nigeria.

Data	World Economic Forum	emma	Shell Nigeria
Tweets downloaded	3250	151	3195
Retweets	29	6	455
Short tweets	6	29	13
Tweets kept	3215	116	2727

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 @emmamme-shell_nigeria-wef'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/__emmamme__-shell_nigeria-wef')
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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