danny_macaskill-martynashton – AI Model by huggingtweets | AlphaNeural AI

You can deploy this model and start earning money today!

huggingtweets/
danny_macaskill-martynashton

like

0

text-generation

autotrain_compatible

text-generation-inference

endpoints_compatible

Views

No views yet

🤖 AI CYBORG 🤖

Danny MacAskill & Martyn Ashton

@danny_macaskill-martynashton

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 Danny MacAskill & Martyn Ashton.

Data	Danny MacAskill	Martyn Ashton
Tweets downloaded	2971	3179
Retweets	505	810
Short tweets	79	136
Tweets kept	2387	2233

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 @danny_macaskill-martynashton'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/danny_macaskill-martynashton')
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

Follow

For more details, visit the project repository.

GitHub stars