Pretrained Pytorch model file for EfficientNet Lite0
Project description
efficientnet-lite0-pytorch-model
Pretrained Pytorch model file for EfficientNet Lite0
Installation
pip install efficientnet_lite0_pytorch_model
Basic Usage
from efficientnet_lite0_pytorch_model import EfficientnetLite0ModelFile
print( 'model file path is %s' % ( EfficientnetLite0ModelFile.get_model_file_path() ) )
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
- _Cookiecutter: https://github.com/audreyr/cookiecutter
- _
audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage
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 efficientnet_lite0_pytorch_model-0.1.0.tar.gz.
File metadata
- Download URL: efficientnet_lite0_pytorch_model-0.1.0.tar.gz
- Upload date:
- Size: 17.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.19.9 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c48ec8a3a3779c1d946642b85523435148169b2e75f87faf38c398965930e688
|
|
| MD5 |
9c289df9de20b3797bf254c1fde3abb6
|
|
| BLAKE2b-256 |
72844c9a21da114e309b148751187152a21d65654b6b1e2846324a4cbd981b8c
|
File details
Details for the file efficientnet_lite0_pytorch_model-0.1.0-py2.py3-none-any.whl.
File metadata
- Download URL: efficientnet_lite0_pytorch_model-0.1.0-py2.py3-none-any.whl
- Upload date:
- Size: 17.4 MB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.19.9 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f2bc3dd05dbc22e1596ffc41879e56e6dc2238ce3e7691cb91ef18966489a2be
|
|
| MD5 |
8f817b3d8182f8932d6738f05286e022
|
|
| BLAKE2b-256 |
31145b90cc4ae218622f87857d61ea8473b058fc2b2640b005306170a193aea2
|