Skip to main content

No project description provided

Project description

🤗 AutoTrain Advanced

AutoTrain Advanced: faster and easier training and deployments of state-of-the-art machine learning models. AutoTrain Advanced is a no-code solution that allows you to train machine learning models in just a few clicks. Please note that you must upload data in correct format for project to be created. For help regarding proper data format and pricing, check out the documentation.

NOTE: AutoTrain is free! You only pay for the resources you use in case you decide to run AutoTrain on Hugging Face Spaces. When running locally, you only pay for the resources you use on your own infrastructure.

Deploy on Spaces Open In Colab

Installation

You can Install AutoTrain-Advanced python package via PIP. Please note you will need python >= 3.10 for AutoTrain Advanced to work properly.

pip install autotrain-advanced

Please make sure that you have git lfs installed. Check out the instructions here: https://github.com/git-lfs/git-lfs/wiki/Installation

You also need to install torch, torchaudio and torchvision.

The best way to run autotrain is in a conda environment. You can create a new conda environment with the following command:

conda create -n autotrain python=3.10
conda activate autotrain
pip install autotrain-advanced
conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
conda install -c "nvidia/label/cuda-12.1.0" cuda-nvcc

Once done, you can start the application using:

autotrain app --port 8080 --host 127.0.0.1

Colabs

Task Colab Link
LLM Fine Tuning Open In Colab
DreamBooth Training Open In Colab

Documentation

Documentation is available at https://hf.co/docs/autotrain/

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

autotrain-advanced-0.7.27.tar.gz (204.8 kB view details)

Uploaded Source

Built Distribution

autotrain_advanced-0.7.27-py3-none-any.whl (247.7 kB view details)

Uploaded Python 3

File details

Details for the file autotrain-advanced-0.7.27.tar.gz.

File metadata

  • Download URL: autotrain-advanced-0.7.27.tar.gz
  • Upload date:
  • Size: 204.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for autotrain-advanced-0.7.27.tar.gz
Algorithm Hash digest
SHA256 74963c1816cb27a0fd465baeaadb744b2bb2e51c00581d0ce3507850a3903a80
MD5 137129cce57b3b60452b2ff1e2c79e3f
BLAKE2b-256 9e820c18a76e70dc13190fa6f89ba34382e4689f6d164d972e45c59c1de87702

See more details on using hashes here.

File details

Details for the file autotrain_advanced-0.7.27-py3-none-any.whl.

File metadata

File hashes

Hashes for autotrain_advanced-0.7.27-py3-none-any.whl
Algorithm Hash digest
SHA256 1f2892a8f28a54c24d83889584db8eb211c339235e615b7f6deea07aa33f2355
MD5 f1d7aa50c68c92355ee56d899c674851
BLAKE2b-256 f147893a238af5bd0b5d9dd89e0d8edb044706b2e576708650f565cd1785e508

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page