huggingtweets/vfsyes

The model is based on a pre-trained GPT-2 which is fine-tuned on @vfsyes'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/vFsyes' model="My dream is", num_return_sequences=5) The model suffers from the same limitations and bias as GPT2 . The model was trained on the data present in the user's tweets further affects the text generated by the model . The final model is logged and versioned at the end,