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. AutoTrain Advanced is a no-code solution that allows you to train machine learning models in just a few clicks. Please note that you must upload data in correct format for project to be created. For help regarding proper data format and pricing, check out the documentation.

NOTE: AutoTrain is free! You only pay for the resources you use in case you decide to run AutoTrain on Hugging Face Spaces. When running locally, you only pay for the resources you use on your own infrastructure.

Deploy on Spaces Open In Colab

Installation

You can Install AutoTrain-Advanced python package via PIP. Please note you will need python >= 3.10 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

You also need to install torch, torchaudio and torchvision.

The best way to run autotrain is in a conda environment. You can create a new conda environment with the following command:

conda create -n autotrain python=3.10
conda activate autotrain
pip install autotrain-advanced
conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
conda install -c "nvidia/label/cuda-12.1.0" cuda-nvcc

Once done, you can start the application using:

autotrain app --port 8080 --host 127.0.0.1

Colabs

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

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-0.7.12.tar.gz (202.9 kB view details)

Uploaded Source

Built Distribution

autotrain_advanced-0.7.12-py3-none-any.whl (245.5 kB view details)

Uploaded Python 3

File details

Details for the file autotrain-advanced-0.7.12.tar.gz.

File metadata

  • Download URL: autotrain-advanced-0.7.12.tar.gz
  • Upload date:
  • Size: 202.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for autotrain-advanced-0.7.12.tar.gz
Algorithm Hash digest
SHA256 f49a0a0a9e2e5d81b5d825988899f1d6fd0eb632e6ced557d7e4109b72bf99c1
MD5 7519b0e8446da6f0d23fe2c4edaec3b3
BLAKE2b-256 90c3dce10019d366edbf279e9c54fd8ea73c2e1e7dd076c218b62fd7cff7aefc

See more details on using hashes here.

File details

Details for the file autotrain_advanced-0.7.12-py3-none-any.whl.

File metadata

File hashes

Hashes for autotrain_advanced-0.7.12-py3-none-any.whl
Algorithm Hash digest
SHA256 f13c99bf775d1dadc9584a6de25f75f864904d07a06c28cbda1f9d73264b5c68
MD5 61008b196937bbad49b6518531273715
BLAKE2b-256 10b4a15ad7869502e18126e4a45f8c290a346e4c29e18cc88a64d2cca638f2ab

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