Tune The Model python wrapper

Tune The Model is a few-shot AutoML system.

Tune The Model can do almost anything that requires understanding or generating natural language. It 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 tune-the-model package allows you to train and apply models.

Documentation

You can find the documentation at our Tune The Model API docs site.

Just try

We have fine-tuned several models. You can use the notebook to try them out. You can get the token to fine tune your own model.

Getting started

Firstly fill out the form to get a key to access the API. We will send you the key within a day.

Installation

To install the package just use pip install -U tune-the-model.

Usage

import tune_the_model as ttm
import pandas as pd

ttm.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 = ttm.tune_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)

Metadata

Release files for tune-the-model 0.1.33

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tune-the-model 0.1.33
File	Size	Uploaded
tune_the_model-0.1.33.tar.gz	14.8 kB	Mar 30, 2023	Details

Built distribution (wheel)

Table of built distributions (wheels) for tune-the-model 0.1.33
File	Interpreter	ABI	Platform	Reset
tune_the_model-0.1.33-py3-none-any.whl 15.4 kB Mar 30, 2023	Python 3	none	any	Details

Total release size: 30.3 kB

Release files / tune_the_model-0.1.33.tar.gz

Download URL	tune_the_model-0.1.33.tar.gz
Size	14.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`cce80eeb6f998c686ecb7f7e9c12d333dbcbc075052ad5339af29cd22d9de805`
BLAKE2b-256 checksum How to use checksums	`5fba52259d21fe2ee021ca557101ff267184ab49dc8a81bd3383c798948f4263`
Upload date	Mar 30, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.16`

Release files / tune_the_model-0.1.33-py3-none-any.whl

Download URL	tune_the_model-0.1.33-py3-none-any.whl
Size	15.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`4894ac4d97d77d10f7e30e11cb246205c980b54aea9ea79c5e451c2214b883cb`
BLAKE2b-256 checksum How to use checksums	`81397b985ef5f75544359290768cdfd7b8df07d4f534844a516eb1512d128b5a`
Upload date	Mar 30, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.16`