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

Deploy on Spaces Open In Colab

Documentation

Documentation is available here.

Installation

You can Install AutoTrain-Advanced python package via PIP. Please note you will need python >= 3.8 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

Colabs

Task Colab Link
LLM Fine Tuning Open In Colab
DreamBooth Training Open In Colab

Tutorials

Title Link
How to Finetune LLMs https://youtu.be/3fsn19OI_C8
How to Train SDXL Dreambooth https://youtu.be/gF078Lhnr94

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-0.6.72.tar.gz (177.8 kB view details)

Uploaded Source

Built Distribution

autotrain_advanced-0.6.72-py3-none-any.whl (211.5 kB view details)

Uploaded Python 3

File details

Details for the file autotrain-advanced-0.6.72.tar.gz.

File metadata

  • Download URL: autotrain-advanced-0.6.72.tar.gz
  • Upload date:
  • Size: 177.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for autotrain-advanced-0.6.72.tar.gz
Algorithm Hash digest
SHA256 3f42bc1a14013c805603dfbd4392277a856cac522fe25b984dd64258e1b8d5c0
MD5 1f1b227fabab5bebb8d8866b09c6a657
BLAKE2b-256 18f9458c027e8ef29a928c628654c8e280902fe2521aea892a351cca0f104344

See more details on using hashes here.

File details

Details for the file autotrain_advanced-0.6.72-py3-none-any.whl.

File metadata

File hashes

Hashes for autotrain_advanced-0.6.72-py3-none-any.whl
Algorithm Hash digest
SHA256 88473fe51c9528024393100c2abf2af87997f7881a34d3c1055641b6a4ea6634
MD5 0de39dd78c0d815ee315e958999a5a0e
BLAKE2b-256 e8acb1ce4fd8f505a5144a6e50038a7f4ff155e6b4881a16edbb9d5664bdc646

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