b3ck1/gpt-neo-125M-finetuned-beer-recipes

GPT-Neo 125M finetuned with beer recipes

Model Description

GPT-Neo 125M is a transformer model based on EleutherAI's replication of the GPT-3 architecture https://huggingface.co/EleutherAI/gpt-neo-125M. It generates recipes for brewing beer in a YAML-like format which can be easily used for different purposes.

Training data

This model was trained on a custom dataset of ~ 76,800 beer recipes from the internet. It includes recipes for the following styles of beer:

• Strong American Ale
• Pale American Ale
• India Pale Ale (IPA)
• Standard American Beer
• Stout
• English Pale Ale
• IPA
• American Porter and Stout
• Sour Ale
• Irish Beer
• Strong British Ale
• Belgian and French Ale
• German Wheat and Rye Beer
• Czech Lager
• Spice/Herb/Vegetable Beer
• Specialty Beer
• American Ale
• Pilsner
• Belgian Ale
• Strong Belgian Ale
• Bock
• Brown British Beer
• German Wheat Beer
• Fruit Beer
• Amber Malty European Lager
• Pale Malty European Lager
• British Bitter
• Amber and Brown American Beer
• Light Hybrid Beer
• Pale Commonwealth Beer
• American Wild Ale
• European Amber Lager
• Belgian Strong Ale
• International Lager
• Amber Bitter European Lager
• Light Lager
• Scottish and Irish Ale
• European Sour Ale
• Trappist Ale
• Strong European Beer
• Porter
• Historical Beer
• Pale Bitter European Beer
• Amber Hybrid Beer
• Smoke Flavored/Wood-Aged Beer
• Spiced Beer
• Dark European Lager
• Alternative Fermentables Beer
• Mead
• Strong Ale
• Dark British Beer
• Scottish Ale
• Smoked Beer
• English Brown Ale
• Dark Lager
• Cider or Perry
• Wood Beer

How to use

You can use this model directly with a pipeline for text generation. This example generates a different recipe each time it's run:

>>> from transformers import pipeline
>>> generator = pipeline('text-generation', model='b3ck1/gpt-neo-125M-finetuned-beer-recipes')
>>> generator("style: Pilsner\nbatch_size: 20\nefficiency: 75\nboil_size:", do_sample=True, min_length=50, max_length=500)
>>> print(output[0]['generated_text'])

style: Pilsner
batch_size: 20
efficiency: 70
boil_size: 24
boil_time: 60
fermentables:
- name: Pale Ale
  type: Grain
  amount: 6.5
hops:
- name: Saaz
  alpha: 3.5
  use: Boil
  time: 60
  amount: 0.06
- name: Saaz
  alpha: 3.5
  use: Boil
  time: 30
  amount: 0.06
- name: Saaz
  alpha: 3.5
  use: Boil
  time: 10
  amount: 0.06
- name: Saaz
  alpha: 3.5
  use: Boil
  time: 0
  amount: 0.06
yeasts:
- name: Safale - American Ale Yeast US-05
  amount: 0.11
  min_temperature: 12
  max_temperature: 25
primary_temp: null
mash_steps:
- step_temp: 65
  step_time: 60
miscs: []

See this model in action

This model was used to build https://beerai.net.