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.set_api_key('YOUR_API_KEY')
# load datasets
tdf = pd.read_csv('train.csv')
vdf = pd.read_csv('test.csv')
# Call one method. It will do everything for you:
# create a model, save it to the file, upload datasets and put the model in the queue for training.
model = model_one.train_generator(
'filename.json',
tdf['inputs'], tdf['outputs'],
vdf['inputs'], vdf['outputs']
)
# wait...
# a few hours
# while our GPUs train your model
model.wait_for_training_finish()
print(model.status)
print(model.is_ready)
# inference!
the_answer = model.generate('The Answer to the Ultimate Question of Life, the Universe, and Everything')
print(the_answer)
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