huggingtweets/slowcoregod

The model is based on a pre-trained GPT-2 which is fine-tuned on @slowcoregod'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: pipeline('text-generation', model('My dream is) model="Huggingtweets/Slowcoregod') model="My dream is", num_return_sequences=5" The model was built by Boris Dayma for the project repository . The model uses the following pipeline: pipeline,