huggingtweets/mrmeatscience

The model is based on a pre-trained GPT-2 which is fine-tuned on @mrmeatscience'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/mrmeatcscience') model="My dream is", num_return_sequences=5" The model suffers from the same limitations and bias as that of the model, and the data present in the user's tweets further affects the text generated by the model . For more details, visit the project repository . The model was trained,