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The source string is fed to the toker Tokenizer object along with a return_tensors='pt' argument. The 'pt' means return tokenized information as PyTorch tensors rather than the default NumPy arrays.
This article explains how to compute the accuracy of a trained Transformer Architecture model for natural language processing. Specifically, this article describes how to compute the classification ...
Step 1: Prepare your PyTorch model. Train or load your model. Train your model on a development machine or load a pre-trained model from PyTorch’s model zoo: import torch import torchvision.models as ...
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