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-0.6.59.tar.gz (193.7 kB view details)

Uploaded Source

Built Distribution

autotrain_advanced-0.6.59-py3-none-any.whl (234.3 kB view details)

Uploaded Python 3

File details

Details for the file autotrain-advanced-0.6.59.tar.gz.

File metadata

  • Download URL: autotrain-advanced-0.6.59.tar.gz
  • Upload date:
  • Size: 193.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for autotrain-advanced-0.6.59.tar.gz
Algorithm Hash digest
SHA256 c226489989092fb58832df7d37908d3672a3ff0dd8259e139391286778a72316
MD5 6aee17fb3f78b2183f7f4504e2155d81
BLAKE2b-256 1b0a83ba1711945a71ab85e38a6c210a9e07045f56a5ab80a653a7a5f91c7f88

See more details on using hashes here.

File details

Details for the file autotrain_advanced-0.6.59-py3-none-any.whl.

File metadata

File hashes

Hashes for autotrain_advanced-0.6.59-py3-none-any.whl
Algorithm Hash digest
SHA256 90c9f9d2ccd7e655e8a70a6c3b48474d887294fdd4ce1f17d072ae2e50531ca1
MD5 bc56a741684963f0bedcbed6a83155d1
BLAKE2b-256 a1c27b2afeea882490abde1f5563b3463788aa8de890a4dc813663c37df4e1d7

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