huggingtweets/downgrad3d

The model is based on a pre-trained GPT-2 which is fine-tuned on @downgrad3d'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/downgrad 3d') model="My dream is", num_return_sequences=5" The model was trained on the user's tweets for full transparency and reproducibility . The model suffers from the same limitations and bias as that of the GPT 2 model, and the data present in the tweets further affects the text generated,