How to install mozuma-clip via python pip

- Environment :: GPU
- Environment :: GPU :: NVIDIA CUDA
- Topic :: Scientific/Engineering :: Artificial Intelligence
- Topic :: Scientific/Engineering :: Image Recognition

When you know about this project and you want to new install mozuma-clip to support your project or you get trouble as ModuleNotFoundError: No module named "mozuma-clip" or ImportError: cannot import name "mozuma-clip" in your project, let follow this tutorial to install mozuma-clip

Installation:

Step 1: First, ensure you installed pip in your os, to check pip has been installed on your computer

In Windows (CMD):

py -m pip --version

In Unix/macOS:

python3 -m pip --version

Ensure pip, setuptools, and wheel are up to date:

In Windows (CMD):

py -m pip install --upgrade pip setuptools wheel

In Unix/macOS:

python3 -m pip install --upgrade pip setuptools wheel

py -m pip install --user virtualenv

py -m venv test_mozuma-clip_env

test_mozuma-clip_env\Scripts\active

pip3 install virtualenv

python3 -m venv test_mozuma-clip_env

source test_mozuma-clip_env/bin/active

Step 2: OK, now, let flow below content to start the installation mozuma-clip

To install mozuma-clip on Windows(CMD):

py -m pip install mozuma-clip

To install mozuma-clip on Unix/macOs:

pip install mozuma-clip

Step 3: If you want to install a specific mozuma-clip version, add ==<mozuma-clip version> to the end command line

Example:

pip install mozuma-clip==1.0.1

Please see the version list below table:

py -m pip install mozuma-clip==1.0.1

pip install mozuma-clip==1.0.1

Step 4: Otherwise, you can install mozuma-clip from local archives:

Download the distribution file from mozuma-clip-1.0.1.tar.gz or the specific mozuma-clip version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_mozuma-clip_downloaded_file>

On Unix/macOs:

pip install <path_to_mozuma-clip_downloaded_file>

List distribution:

- mozuma-clip-1.0.1.tar.gz
- mozuma_clip-1.0.1-py3-none-any.whl

Project link:

- Homepage