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-0.6.62.tar.gz (193.9 kB view details)

Uploaded Source

Built Distribution

autotrain_advanced-0.6.62-py3-none-any.whl (234.9 kB view details)

Uploaded Python 3

File details

Details for the file autotrain-advanced-0.6.62.tar.gz.

File metadata

  • Download URL: autotrain-advanced-0.6.62.tar.gz
  • Upload date:
  • Size: 193.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for autotrain-advanced-0.6.62.tar.gz
Algorithm Hash digest
SHA256 476ea62d006012ce9c85d70d23063be34b29c5b83461880f81c64430609f583e
MD5 5d83872cb57f7fbbd3be3c71fa94d5aa
BLAKE2b-256 f56d1a6f86300ee35a817d618b8f3361673e3c6b5cb84281333d545a9106980c

See more details on using hashes here.

File details

Details for the file autotrain_advanced-0.6.62-py3-none-any.whl.

File metadata

File hashes

Hashes for autotrain_advanced-0.6.62-py3-none-any.whl
Algorithm Hash digest
SHA256 c39d2a96cde4606972a09f8c201998613b0b369b440932f4088fe40d477eecbd
MD5 c7329df1d84d24fa5a98a4cabff4b3e3
BLAKE2b-256 e681ce461bca5498c4d3ada85b858971141af751dd70fef409dc9f252c75ad13

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