beyondml
Project description
Model One python wrapper
Model One is a few-shot AutoML system.
Model One can do almost anything that requires understanding or generating natural language. Model One is able to solve tasks in 12 languages: English, Spanish, Portuguese, Russian, Turkish, French, German, Italian, Arabic, Polish, Dutch, and Hebrew.
This package provides a simple wrapper for using our api.
Using model-one
package allows you to train and apply models.
Get started
Firstly fill out the form to get a key to access the API. We will send you the key within a day.
Install
To install the package just use pip --install model-one
.
Usage
import model_one
import pandas as pd
model_one.api_key = 'YOUR_API_KEY'
# create a model
model = model_one.create_generative()
# save the model for further usage
model.save('filename.json')
# if you want to load
model = model_one.load('filename.json')
tdf = pd.read_csv('train.csv')
vdf = pd.read_csv('test.csv')
# upload datasets
model.upload(tdf['inputs'], tdf['outputs'], vdf['inputs'], vdf['outputs'])
model.fit()
# wait...
# a few hours
# while our GPUs train your model
print(model.status())
print(model.ready())
# inference!
model.generate('The Answer to the Ultimate Question of Life, the Universe, and Everything')
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