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-0.7.64.tar.gz (211.2 kB view details)

Uploaded Source

Built Distribution

autotrain_advanced-0.7.64-py3-none-any.whl (259.3 kB view details)

Uploaded Python 3

File details

Details for the file autotrain-advanced-0.7.64.tar.gz.

File metadata

  • Download URL: autotrain-advanced-0.7.64.tar.gz
  • Upload date:
  • Size: 211.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.14

File hashes

Hashes for autotrain-advanced-0.7.64.tar.gz
Algorithm Hash digest
SHA256 f80f60128ef6b5652738e2822e7bea955a9855b162c247c5625dee2e87b636a5
MD5 b5ff1a3cec168dff8f643342b0b238c3
BLAKE2b-256 f5fbd99b97c081288248b07df3dbea871b3d6ab51c3121b1e02f378b1511752e

See more details on using hashes here.

File details

Details for the file autotrain_advanced-0.7.64-py3-none-any.whl.

File metadata

File hashes

Hashes for autotrain_advanced-0.7.64-py3-none-any.whl
Algorithm Hash digest
SHA256 fb02719fc0c7c837443930f71c05eab371b53e68f1d0f868604809e10e5d889c
MD5 816098e26e1c204437c0d7f09dc0663f
BLAKE2b-256 8b614b2c85a4838a0cf5c08333238268e4f26484efbab69aff6e127cfa3efb60

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