In this kit we are going to see how to load pretrained model using pytorch. A pre-trained model is a model created by some one else to solve a similar problem. Instead of building a model from scratch to solve a similar problem, you use the model trained on other problem as a starting point. To load a pretrained model for example torch.nn: Loads a model’s parameter dictionary.
Please check the below code to know how to load pretrained model using pytorch,
Fig: Preview of the output that you will get on running this code from your IDE
Code
In this solution we're using pytorch library
Instructions
Follow the steps carefully to get the output easily.
- Install pytorch on your IDE(Any of your favorite IDE).
- Copy the snippet using the 'copy' and paste it in your IDE.
- Run the file to generate the output.
I hope you found this useful. I have added the link to dependent library, version information in the following sections.
I found this code snippet by searching for ' loading pretrained model using pytorch' in kandi. You can try any such use case!
Environment tested
I tested this solution in the following versions. Be mindful of changes when working with other versions.
- The solution is created in Jupyter notebook 6.5.2.
- The solution is tested on Python 3.8.10.
- Pytorch version 1.0.2.
Using this solution, we are able to understand how to load pretrained model using pytorch with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us how to load pretrained model using pytorch
Dependent Library
torch-lightby ne7ermore
Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.
torch-lightby ne7ermore
Python 458 Version:Current License: Permissive (MIT)
pytorch-tutorialby yunjey
PyTorch Tutorial for Deep Learning Researchers
pytorch-tutorialby yunjey
Python 26754 Version:Current License: Permissive (MIT)
You can also search for any dependent libraries on kandi like 'pytorch' and 'torch.nn'
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