huggingtweets/thyacinth

The model is based on a pre-trained GPT-2 which is fine-tuned on @thyacinth's tweets . Hyperparameters and metrics are recorded in the W&B training run for full transparency and reproducibility . The model suffers from the same limitations and bias as the model . The data present in the user's tweets further affects the text generated by the model. You can use this model directly with a pipeline for text generation. The model uses the following pipeline: pipeline('text-generation', model="huggingtweets.model="my dream is", num_return_sequences=5) pipeline('My dream is") Pipeline('Text-,