INVALID LANGUAGE PAIR SPECIFIED. EXAMPLE: LANGPAIR=EN|IT USING 2 LETTER ISO OR RFC3066 LIKE ZH-CN. ALMOST ALL LANGUAGES SUPPORTED BUT SOME MAY HAVE NO CONTENT The model is based on a pre-trained GPT-2 which is fine-tuned on @dealingporn’s tweets. Hyperparameters and metrics are recorded in the W&B training run for full transparency and reproducibility. At the end of training, the final model is logged and versioned. You can use this model directly with a pipeline for text generation: from transformers import pipeline generator = pipeline(‘text-generation’, model=’huggingtweets/dealingporn’) generator(«My dream is», numreturnsequences=5) The model suffers from the same limitations and bias as GPT-2. In addition, the data present in the user’s tweets further affects the text generated by the model.
Модальности:
Генерация текста
Задача: Генерация текста
Автор: huggingtweets
Теги: jax, gpt2, huggingtweets, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 11
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
