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-0.6.79.tar.gz
(179.1 kB
view details)
Built Distribution
File details
Details for the file autotrain-advanced-0.6.79.tar.gz
.
File metadata
- Download URL: autotrain-advanced-0.6.79.tar.gz
- Upload date:
- Size: 179.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e27482c1bf7e607d5679efd5172ae57bfcb6b4a5fb01449ef9b465130c48c0e5 |
|
MD5 | 5c4837705623ed240318c476a9a6c5aa |
|
BLAKE2b-256 | 1e64dc48c5a3e215a43bc4d029e5a46e0eb21104275e65f592e5d76d22aa2521 |
File details
Details for the file autotrain_advanced-0.6.79-py3-none-any.whl
.
File metadata
- Download URL: autotrain_advanced-0.6.79-py3-none-any.whl
- Upload date:
- Size: 213.0 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 | e47ed0cbd12dc4b956766fdd8d507460c147f2f6fb1daf40cffae8ada80a3380 |
|
MD5 | 4485c59e5df2e66db15d4400c767df10 |
|
BLAKE2b-256 | 04127c596a9b56882e5e0788dc6a76f0ef85837d36c9b7a0f4b1015e3dc5b1c1 |