KoboldAI / fairseq-dense-2.7B-Janeway

huggingface.co
Total runs: 44
24-hour runs: 2
7-day runs: 7
30-day runs: 21
Model's Last Updated: April 17 2022
text-generation

Introduction of fairseq-dense-2.7B-Janeway

Model Details of fairseq-dense-2.7B-Janeway

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:

>>> 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

Runs of KoboldAI fairseq-dense-2.7B-Janeway on huggingface.co

44
Total runs
2
24-hour runs
5
3-day runs
7
7-day runs
21
30-day runs

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