Скачать или смотреть pytorch pretrained models download

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PyTorch provides a variety of pretrained models that can be used for various tasks such as image classification, object detection, and natural language processing. In this tutorial, we will guide you through the process of downloading pretrained models using PyTorch and provide a code example.
Before we begin, make sure you have PyTorch installed. You can install it using the following command:
In your Python script or Jupyter Notebook, import the required libraries:
PyTorch provides a variety of pretrained models. You can find a list of models in the official documentation. For this tutorial, let's use the ResNet-18 model.
The pretrained=True argument ensures that the model is loaded with pretrained weights.
The first time you run the script, PyTorch will automatically download the pretrained weights for the selected model. Subsequent runs will use the locally cached weights.
Now that you have downloaded the pretrained model, you can explore its architecture and parameters. For example, you can print the model summary:
Here's the complete code example:
In this tutorial, you learned how to download pretrained models in PyTorch using a code example. This process is essential for leveraging state-of-the-art models without the need to train them from scratch. Feel free to explore other pretrained models available in PyTorch for different tasks and experiment with them in your projects.
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