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-0.7.20.tar.gz (204.0 kB view details)

Uploaded Source

Built Distribution

autotrain_advanced-0.7.20-py3-none-any.whl (246.6 kB view details)

Uploaded Python 3

File details

Details for the file autotrain-advanced-0.7.20.tar.gz.

File metadata

  • Download URL: autotrain-advanced-0.7.20.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-0.7.20.tar.gz
Algorithm Hash digest
SHA256 62097caa898b2b3e65968dd41d88974372f37b4b996692d1b1e7cd9dfab70a66
MD5 5c3c2442140b680836ddb19ada594f85
BLAKE2b-256 6f7e9809755a4bc136f96ad20ef39b38bb0538f7f6a58da07048be8157f85715

See more details on using hashes here.

File details

Details for the file autotrain_advanced-0.7.20-py3-none-any.whl.

File metadata

File hashes

Hashes for autotrain_advanced-0.7.20-py3-none-any.whl
Algorithm Hash digest
SHA256 3cbbe37db84f063dfcce8f0069937307dc821a1b58b743b1c69b28d08c4d49bb
MD5 f4bd0454e55a73145ab71c483b6079f8
BLAKE2b-256 26900bb63fc8c725cab7e5ad4c176a700c857eaa9d62db96cced42760a4e70dc

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