huggingartists/

lyapis-trubetskoy

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

The model was trained on lyrics from Ляпис Трубецкой (Lyapis Trubetskoy).

Dataset is available here. And can be used with:

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 Ляпис Трубецкой (Lyapis Trubetskoy)'s lyrics.

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:

Or with Transformers library:

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.