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-0.7.52.tar.gz (208.2 kB view details)

Uploaded Source

Built Distribution

autotrain_advanced-0.7.52-py3-none-any.whl (252.6 kB view details)

Uploaded Python 3

File details

Details for the file autotrain-advanced-0.7.52.tar.gz.

File metadata

  • Download URL: autotrain-advanced-0.7.52.tar.gz
  • Upload date:
  • Size: 208.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.11

File hashes

Hashes for autotrain-advanced-0.7.52.tar.gz
Algorithm Hash digest
SHA256 9abb0d8b36b3a8ecd686915551440dc18785f7b40d519eb81f250fb6d6c6e466
MD5 e2e85b2fb62c3bffa123425eed9f9be6
BLAKE2b-256 024876f8e89bb7233a1b2d00be64066501fce11c85acc6a2f9b53c8696d05fbc

See more details on using hashes here.

File details

Details for the file autotrain_advanced-0.7.52-py3-none-any.whl.

File metadata

File hashes

Hashes for autotrain_advanced-0.7.52-py3-none-any.whl
Algorithm Hash digest
SHA256 136838e4277f065cefb10ff9def4269961066e762b2fc80d5b98c4d07179ac3f
MD5 242cd8e3f71ac64b1d29fb50d167794b
BLAKE2b-256 e67b41237cd7707bd473b8c8f8b4e4b88d4b1314202ca6b5e2658aa755b892a4

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