huggingtweets/leloykun

The model is based on a pre-trained GPT-2 which is fine-tuned on @leloykun'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/lehoykun') model="My dream is", num_return_sequences=5" model="HuggingTweets. (My dream)" model='Hugingtweet/leloyakun') The model suffers from the same limitations and bias as that of the model . The model was trained on,