Julius ter Pelkwijk
Initial commit
5a6d1ba
|
raw
history blame
1.3 kB
metadata
language: en
license: mit

Fairseq-dense 6.7B - Shinen

Model Description

Fairseq-dense 6.7B-Shinen is a finetune created using Fairseq's MoE dense model. Compared to GPT-Neo-2.7-Horni, this model is much heavier on the sexual content. Warning: THIS model is NOT suitable for use by minors. The model will output X-rated content.

Training data

The training data contains user-generated stories from sexstories.com. All stories are tagged using the following way:

[Theme: <theme1>, <theme2> ,<theme3>]
<Story goes here>

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:

>>> from transformers import pipeline
>>> generator = pipeline('text-generation', model='KoboldAI/fairseq-dense-6.7B-Shinen')
>>> generator("She was staring at me", do_sample=True, min_length=50)
[{'generated_text': 'She was staring at me with a look that said it all. She wanted me so badly tonight that I wanted'}]

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