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-0.7.34.tar.gz (206.9 kB view details)

Uploaded Source

Built Distribution

autotrain_advanced-0.7.34-py3-none-any.whl (249.7 kB view details)

Uploaded Python 3

File details

Details for the file autotrain-advanced-0.7.34.tar.gz.

File metadata

  • Download URL: autotrain-advanced-0.7.34.tar.gz
  • Upload date:
  • Size: 206.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for autotrain-advanced-0.7.34.tar.gz
Algorithm Hash digest
SHA256 66183821402fecdf457497b570bc761180ba7a7e5e1523a324c248249e2914dd
MD5 0f10e56f9327bbf644d0501c73a9ffad
BLAKE2b-256 200a829f5fedabcb1374f18e254758ed8d78cfd447a7adf3ae8b55344f84d0df

See more details on using hashes here.

File details

Details for the file autotrain_advanced-0.7.34-py3-none-any.whl.

File metadata

File hashes

Hashes for autotrain_advanced-0.7.34-py3-none-any.whl
Algorithm Hash digest
SHA256 c07a38a5ca5cff59add53c3993fca5f69ac1c3ed6d16f6ef9254d2f36f78805b
MD5 4ebf2d863789d864855da3359cfadccc
BLAKE2b-256 589fbcd2ee5251376e1981073f49ea60d95d0074d7b7b5afa2fc1790cb3493fb

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