No project description provided
Project description
🤗 AutoTrain Advanced
AutoTrain Advanced: faster and easier training and deployments of state-of-the-art machine learning models
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 | |
DreamBooth Training |
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-0.6.94.tar.gz
(187.3 kB
view details)
Built Distribution
File details
Details for the file autotrain-advanced-0.6.94.tar.gz
.
File metadata
- Download URL: autotrain-advanced-0.6.94.tar.gz
- Upload date:
- Size: 187.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6d9f30c5d675b9cd5b9c700a54b6fa3bf9e3a41380e7a91101a59ef006d459e3 |
|
MD5 | ba77542f2eed0aca1dd247ea2cad30a4 |
|
BLAKE2b-256 | 329771bd49d842165016071eac7b84e38d2809dcf8ccf189bfe6e56fb34f58e8 |
File details
Details for the file autotrain_advanced-0.6.94-py3-none-any.whl
.
File metadata
- Download URL: autotrain_advanced-0.6.94-py3-none-any.whl
- Upload date:
- Size: 226.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | baf8ea6de6c6ee16d56485cf3c8a9a3743616cb1ce00fee4b53f8ec2226bdd5b |
|
MD5 | 43aa8e904710ebb1ee6388024c600999 |
|
BLAKE2b-256 | eb9d4a0f287a8e0947a33c60e2f01e7bfe81df440bddb8da7dc8a9be130f376b |