How to load pretrained model using pytorch

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by shivanisanju03 dot icon Updated: Feb 3, 2023

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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.

  1. Install pytorch on your IDE(Any of your favorite IDE).
  2. Copy the snippet using the 'copy' and paste it in your IDE.
  3. 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.

  1. The solution is created in Jupyter notebook 6.5.2.
  2. The solution is tested on Python 3.8.10.
  3. 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

Python doticonstar image 458 doticonVersion:Currentdoticon
License: Permissive (MIT)

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

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            torch-lightby ne7ermore

            Python doticon star image 458 doticonVersion:Currentdoticon License: Permissive (MIT)

            Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.
            Support
              Quality
                Security
                  License
                    Reuse
                      Python doticonstar image 26754 doticonVersion:Currentdoticon
                      License: Permissive (MIT)

                      PyTorch Tutorial for Deep Learning Researchers

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                                pytorch-tutorialby yunjey

                                Python doticon star image 26754 doticonVersion:Currentdoticon License: Permissive (MIT)

                                PyTorch Tutorial for Deep Learning Researchers
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                                          You can also search for any dependent libraries on kandi like 'pytorch' and 'torch.nn'

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