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-0.7.19.tar.gz (204.0 kB view details)

Uploaded Source

Built Distribution

autotrain_advanced-0.7.19-py3-none-any.whl (246.6 kB view details)

Uploaded Python 3

File details

Details for the file autotrain-advanced-0.7.19.tar.gz.

File metadata

  • Download URL: autotrain-advanced-0.7.19.tar.gz
  • Upload date:
  • Size: 204.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for autotrain-advanced-0.7.19.tar.gz
Algorithm Hash digest
SHA256 496430be8d0b07cfccb52873c396b092e0df0a87741611e2e0462aee73509a3c
MD5 107143171e39823c29d5a44054ee575d
BLAKE2b-256 bedef42215e7f8cf600f5cd2a103ccb2dbcb62afa67df0e18616e751ea5b27b2

See more details on using hashes here.

File details

Details for the file autotrain_advanced-0.7.19-py3-none-any.whl.

File metadata

File hashes

Hashes for autotrain_advanced-0.7.19-py3-none-any.whl
Algorithm Hash digest
SHA256 feff4b977d727519fd8e596a2543a6508111dce8de17fa50836dd6a64d7a4dd5
MD5 82000b4688207c3a4b8af59fa456302d
BLAKE2b-256 8f8ace74a9959f6ea6d81f69c4a3fe3febbc7b844ca0ee26305147ae969c47dd

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