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-0.7.71.tar.gz (211.4 kB view details)

Uploaded Source

Built Distribution

autotrain_advanced-0.7.71-py3-none-any.whl (259.2 kB view details)

Uploaded Python 3

File details

Details for the file autotrain-advanced-0.7.71.tar.gz.

File metadata

  • Download URL: autotrain-advanced-0.7.71.tar.gz
  • Upload date:
  • Size: 211.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.14

File hashes

Hashes for autotrain-advanced-0.7.71.tar.gz
Algorithm Hash digest
SHA256 58e40cfd36fa87bba139fe489a3818f9dce6ff80af3777a569af7409985de6dc
MD5 782936159bda9cdbe548937c25a51993
BLAKE2b-256 6aae8fb4d45c6a6bd06bf24096c10895cf88b6928ba17f0b2e4f48491bd3202b

See more details on using hashes here.

File details

Details for the file autotrain_advanced-0.7.71-py3-none-any.whl.

File metadata

File hashes

Hashes for autotrain_advanced-0.7.71-py3-none-any.whl
Algorithm Hash digest
SHA256 cd00fffd8e5f80245e505d5a431b41c4962782be91ae49ef711e4ec1a95f4b9d
MD5 43f3e780323dca579641735119a91f7e
BLAKE2b-256 0a102bd5bd5f8a257b7d625cf5d5f62455b05a021d19525233e5b8110b7d2f24

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