huggingtweets/dataandme

The model is based on a pre-trained GPT-2 which is fine-tuned on @dataandme'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/Dataandme') model="My dream is", num_return_sequences=5" The model suffers from the same limitations and bias as the GPT2 model . The model uses the following pipeline. The model was trained on the user's tweets. The data present in the tweets further affects the text generated by the model. The,