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huggingtweets / disgustingact84-kickswish
Model's Last Updated: June 02 2022
text-generation
Introduction of disgustingact84-kickswish
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 Justin Moran & ToxicAct 🇺🇸 ⚽️.
| Data | Justin Moran | ToxicAct 🇺🇸 ⚽️ |
|---|---|---|
| Tweets downloaded | 3237 | 3247 |
| Retweets | 286 | 260 |
| Short tweets | 81 | 333 |
| Tweets kept | 2870 | 2654 |
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 @disgustingact84-kickswish'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',
model='huggingtweets/disgustingact84-kickswish')
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.
Runs of huggingtweets disgustingact84-kickswish on huggingface.co
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More Information About disgustingact84-kickswish huggingface.co Model
Url of disgustingact84-kickswish
disgustingact84-kickswish huggingface.co Url
Provider of disgustingact84-kickswish huggingface.co
Other API from huggingtweets
Updated:June 28 2022
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