huggingtweets/__stillpoint

The model is based on a pre-trained GPT-2 which is fine-tuned on @__stillpoint'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/_stillpoint') model('My dream is', num_return_sequences=5) model="HuggingTweets" model="My dream is", num_response_sequence=5" Model was trained on the user's tweets. The data present in the tweets further affects the text generated by the model. The,