Modulenotfounderror: no module named open_clip error occurs mainly because either open_clip_torch module is either not properly installed or not compatible with torch.
Modulenotfounderror: no module named open_clip (Solution ) –
As we know to avoid any complexity while installation. if the package is available in PyPI Hub, we can directly use pip package manager.
1. Use pip for open-clip-torch Installation –
Here is the command for open-clip-torch installation using pip. It will install the latest version of open-clip-torch which is currently 2.20.0. Later on, it can be different.
pip install open-clip-torch
If you want to install the version specify open-clip-torch then run the same like this. For version information for this open-clip-torch module, you can visit the release history for open-clip-torch.
pip install open-clip-torch==2.19.0
If you run the above command and it is asking for admin permission then add ‘sudo’ keyword before the command for Linux-based OS. For Windows users, you can launch the cmd in Admin mode (right-click option select ), Now the same command will work for you.
2. Use the Source Code for open-clip-torch Installation –
Developers usually opt for this method when they want to change the core of open_clip_torch functionality. Since it is a longer way to install than pip. But it gives more grip on the code side and available parameters. To install generally we need to follow the below steps.
2.1 Download the code using the git link for open-clip-torch.
2.2 Change the Directory to the base folder of code.
2.3 Execute the below command.
python setup.py install
Here if you want to become version-specific then you can download the corresponding branch as per the version. For Admin privileges, same concept as we discussed in the above section. sudo for Linux and admin mode cmd for Windows.
In this article we have seen how easily we can fix up Modulenotfounderror: no module named open_clip error. Apart from installation, you should also check the import statement. Sometimes we commit mistakes there as well.
Data Science Learner Team
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