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huggingtweets / bearfoothunter1-jockforbrains-recentrift
Model's Last Updated: July 27 2022
text-generation
Introduction of bearfoothunter1-jockforbrains-recentrift
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 JockForBrains (☣️ May contain morphs) & Demonic Executioner & the real bearfoothunter 🇺🇦🇺🇦🇺🇦.
| Data | JockForBrains (☣️ May contain morphs) | Demonic Executioner | the real bearfoothunter 🇺🇦🇺🇦🇺🇦 |
|---|---|---|---|
| Tweets downloaded | 3238 | 2261 | 3248 |
| Retweets | 211 | 177 | 64 |
| Short tweets | 467 | 104 | 746 |
| Tweets kept | 2560 | 1980 | 2438 |
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 @bearfoothunter1-jockforbrains-recentrift'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/bearfoothunter1-jockforbrains-recentrift')
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.
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More Information About bearfoothunter1-jockforbrains-recentrift huggingface.co Model
Url of bearfoothunter1-jockforbrains-recentrift
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Provider of bearfoothunter1-jockforbrains-recentrift huggingface.co
Other API from huggingtweets
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