huggingtweets/madisonbeer

The model is based on a pre-trained GPT-2 which is fine-tuned on @madisonbeer's tweets . The data is tracked with W&B artifacts at every step of the pipeline . You can use this model directly with a pipeline for text generation: pipeline('text-generation', model='huggingtweets/madison beer') model="My dream is", num_return_sequences=5" The model suffers from the same limitations and bias as the GPT2 model . The model was trained on the user's tweets for full transparency and reproducibility . At the end of training, the final model is logged and versioned. The,