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-0.6.71.tar.gz (177.4 kB view details)

Uploaded Source

Built Distribution

autotrain_advanced-0.6.71-py3-none-any.whl (210.8 kB view details)

Uploaded Python 3

File details

Details for the file autotrain-advanced-0.6.71.tar.gz.

File metadata

  • Download URL: autotrain-advanced-0.6.71.tar.gz
  • Upload date:
  • Size: 177.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for autotrain-advanced-0.6.71.tar.gz
Algorithm Hash digest
SHA256 2ba0ff934f6557a19b3580ee24837f20b98cccce2bc46d7dcc960c9f7f833f95
MD5 1fbfe1168ac5720134326b02c537fb64
BLAKE2b-256 da8f633e06fc171bfab5a9c6697be2e366e737e4cc932c2451d08b146ffd82dd

See more details on using hashes here.

File details

Details for the file autotrain_advanced-0.6.71-py3-none-any.whl.

File metadata

File hashes

Hashes for autotrain_advanced-0.6.71-py3-none-any.whl
Algorithm Hash digest
SHA256 87636afb61097c2d916d858b8ba3affca4a69b00b8972689bfb9ba4f4abe1a86
MD5 950bbdcaed694ea89917375ff3b65dc2
BLAKE2b-256 b266cf7f5e5a135108a4553fd5e1ce13728696071226f094b72bfda79881e17b

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