Explore to building the intelligence easily! It's based on Torch, Transformers, etc.
Project description
"Explore to building the intelligence easily!"
English | 中文
How to use
Follow these steps to integrate WillMindS into your project:
- Install: Run the following command to install the package:
pip install willminds
-
Create configuration directory: Make a new directory named
config/, and create a filebasic.yamlbased on the provided template(in config_template). -
Update your
src/main.py: Add the following code to your main Python file:
from willminds import config, logger
from willminds.utils import backup_files
def main():
# get config
exp_name = config.experiment
# logging
logger.info("test the log")
pass
if __name__ == "__main__":
import os
backup_files("src/", # backup your code
["src/test"], # exclude this dir
os.path.join(config.output_dir,"source_code_backup")) # backup path
main()
python src/main.py --config_file config/basic.yaml
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file willminds-0.0.1.tar.gz.
File metadata
- Download URL: willminds-0.0.1.tar.gz
- Upload date:
- Size: 380.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
aea4c5e7e602e00b3e0b9e9033d93677f5c79d7d296fe8f0b5590bb05154753d
|
|
| MD5 |
614b3ea448bde564770ed33d19f7f2d4
|
|
| BLAKE2b-256 |
b92867307f90ec4a26c0a736495cb36725ccc8ccd777612a42cad604d97e79db
|
File details
Details for the file willminds-0.0.1-py3-none-any.whl.
File metadata
- Download URL: willminds-0.0.1-py3-none-any.whl
- Upload date:
- Size: 38.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c9cd24bf4f52dd931201fd7877e8a9c17d12dc44aa598d3b964f05158abc24e9
|
|
| MD5 |
202e556d419f596fee6ea8e7f025ec14
|
|
| BLAKE2b-256 |
a86e715cb4a9df719fe499085a48ab280c457ba0c6e179397d5d903e6c3e3379
|