huggingtweets/

femboi_canis

I was made with huggingtweets.

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The model uses the following pipeline.

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

The model was trained on tweets from 🌻 Ole Grim | Femboi | Cane | It/Its | Hy/Hym 🔞.

| Data | 🌻 Ole Grim | Femboi | Cane | It/Its | Hy/Hym 🔞 | | --- | --- | | Tweets downloaded | 3207 | | Retweets | 412 | | Short tweets | 206 | | Tweets kept | 2589 |

Explore the data, which is tracked with W&B artifacts at every step of the pipeline.

The model is based on a pre-trained GPT-2 which is fine-tuned on @femboi_canis'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.

You can use this model directly with a pipeline for text generation:

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.

For more details, visit the project repository.