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--- |
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language: |
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- en |
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tags: |
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- text generation |
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- pytorch |
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- causal-lm |
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license: apache-2.0 |
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datasets: |
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- custom |
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widget: |
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- text: "style: Pilsner\nbatch_size: 20\nefficiency: 75\nboil_size:" |
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example_title: "Pilsener" |
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- text: "style: IPA\nbatch_size: 20\nefficiency: 75\nboil_size:" |
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example_title: "IPA" |
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- text: "style: Scottish Ale\nbatch_size: 20\nefficiency: 75\nboil_size:" |
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example_title: "Scottish Ale" |
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inference: |
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parameters: |
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do_sample: true |
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top_k: 10 |
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top_p: 0.99 |
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max_length: 500 |
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--- |
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# GPT-Neo 125M finetuned with beer recipes |
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## Model Description |
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GPT-Neo 125M is a transformer model based on EleutherAI's replication of the GPT-3 architecture https://huggingface.co/EleutherAI/gpt-neo-125M. |
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It generates recipes for brewing beer in a YAML-like format which can be easily used for different purposes. |
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## Training data |
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This model was trained on a custom dataset of ~ 76,800 beer recipes from the internet. It includes recipes for the following |
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styles of beer: |
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* Strong American Ale |
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* Pale American Ale |
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* India Pale Ale (IPA) |
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* Standard American Beer |
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* Stout |
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* English Pale Ale |
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* IPA |
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* American Porter and Stout |
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* Sour Ale |
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* Irish Beer |
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* Strong British Ale |
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* Belgian and French Ale |
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* German Wheat and Rye Beer |
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* Czech Lager |
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* Spice/Herb/Vegetable Beer |
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* Specialty Beer |
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* American Ale |
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* Pilsner |
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* Belgian Ale |
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* Strong Belgian Ale |
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* Bock |
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* Brown British Beer |
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* German Wheat Beer |
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* Fruit Beer |
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* Amber Malty European Lager |
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* Pale Malty European Lager |
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* British Bitter |
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* Amber and Brown American Beer |
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* Light Hybrid Beer |
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* Pale Commonwealth Beer |
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* American Wild Ale |
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* European Amber Lager |
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* Belgian Strong Ale |
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* International Lager |
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* Amber Bitter European Lager |
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* Light Lager |
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* Scottish and Irish Ale |
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* European Sour Ale |
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* Trappist Ale |
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* Strong European Beer |
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* Porter |
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* Historical Beer |
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* Pale Bitter European Beer |
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* Amber Hybrid Beer |
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* Smoke Flavored/Wood-Aged Beer |
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* Spiced Beer |
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* Dark European Lager |
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* Alternative Fermentables Beer |
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* Mead |
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* Strong Ale |
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* Dark British Beer |
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* Scottish Ale |
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* Smoked Beer |
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* English Brown Ale |
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* Dark Lager |
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* Cider or Perry |
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* Wood Beer |
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### How to use |
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You can use this model directly with a pipeline for text generation. This example generates a different recipe each time it's run: |
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```py |
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>>> from transformers import pipeline |
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>>> generator = pipeline('text-generation', model='b3ck1/gpt-neo-125M-finetuned-beer-recipes') |
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>>> generator("style: Pilsner\nbatch_size: 20\nefficiency: 75\nboil_size:", do_sample=True, min_length=50, max_length=500) |
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>>> print(output[0]['generated_text']) |
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style: Pilsner |
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batch_size: 20 |
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efficiency: 70 |
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boil_size: 24 |
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boil_time: 60 |
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fermentables: |
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- name: Pale Ale |
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type: Grain |
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amount: 6.5 |
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hops: |
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- name: Saaz |
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alpha: 3.5 |
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use: Boil |
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time: 60 |
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amount: 0.06 |
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- name: Saaz |
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alpha: 3.5 |
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use: Boil |
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time: 30 |
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amount: 0.06 |
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- name: Saaz |
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alpha: 3.5 |
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use: Boil |
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time: 10 |
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amount: 0.06 |
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- name: Saaz |
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alpha: 3.5 |
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use: Boil |
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time: 0 |
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amount: 0.06 |
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yeasts: |
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- name: Safale - American Ale Yeast US-05 |
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amount: 0.11 |
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min_temperature: 12 |
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max_temperature: 25 |
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primary_temp: null |
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mash_steps: |
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- step_temp: 65 |
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step_time: 60 |
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miscs: [] |
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``` |
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### See this model in action |
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This model was used to build https://beerai.net. |
