readme: ---
  language: en
  license: mit
  ---
  # Fairseq-dense 2.7B - Janeway
  ## Model Description
  Fairseq-dense 2.7B-Janeway is a finetune created using Fairseq's MoE dense model.
  ## Training data
  The training data contains around 2210 ebooks, mostly in the sci-fi and fantasy genres. The dataset is identical as dataset used by GPT-Neo-2.7B-Janeway.
  Some parts of the dataset have been prepended using the following text: `[Genre: <genre1>,<genre2>]`
  ### How to use
  You can use this model directly with a pipeline for text generation. This example generates a different sequence each time it's run:
  ```py
  >>> from transformers import pipeline
  >>> generator = pipeline('text-generation', model='KoboldAI/fairseq-dense-2.7B-Janeway')
  >>> generator("Welcome Captain Janeway, I apologize for the delay.", do_sample=True, min_length=50)
  [{'generated_text': 'Welcome Captain Janeway, I apologize for the delay."\nIt's all right," Janeway said. "I'm certain that you're doing your best to keep me informed of what\'s going on."'}]
  ```
  ### Limitations and Biases
  Based on known problems with NLP technology, potential relevant factors include bias (gender, profession, race and religion).
  
  ### BibTeX entry and citation info
  ```
  Artetxe et al. (2021): Efficient Large Scale Language Modeling with Mixtures of Experts
  ```