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-0.6.73.tar.gz (177.8 kB view details)

Uploaded Source

Built Distribution

autotrain_advanced-0.6.73-py3-none-any.whl (211.5 kB view details)

Uploaded Python 3

File details

Details for the file autotrain-advanced-0.6.73.tar.gz.

File metadata

  • Download URL: autotrain-advanced-0.6.73.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-0.6.73.tar.gz
Algorithm Hash digest
SHA256 6d5d08234fc672968a02986d99e1c06d076c35dd6c30f57c1bbe0cdb84d035f5
MD5 2ac2a9c4f6316e7fa87b9d96253514fc
BLAKE2b-256 97ea1092d56713a9edd28250b51f0e0a5ef66ad434e6dc42001adc92f837254a

See more details on using hashes here.

File details

Details for the file autotrain_advanced-0.6.73-py3-none-any.whl.

File metadata

File hashes

Hashes for autotrain_advanced-0.6.73-py3-none-any.whl
Algorithm Hash digest
SHA256 e7937e171e32d781a59d03bf06556103ecb3dd4dc47ed7b74de00d195678a4e4
MD5 5832c015ce7fff0a94de63fecb97d748
BLAKE2b-256 ce63959f421349725c5a5bfd018a1d19fff04f771790996c2c2afcf29d0cedfc

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