transfer learning

Transfer Learning for Text Classification Using PyTorch Fine-tuning a pretrained transformer BERT model for customized sentiment analysis using PyTorch training loops

Transfer Learning for Text Classification Using PyTorch

Hugging Face provides three ways to fine-tune a pretrained text classification model: PyTorch, Tensorflow Keras, and transformer trainer. Compared with the other two ways, PyTorch training loops provide more customization and easier debugging of the training loops. This tutorial will use PyTorch to fine-tune a text classification model. We will talk about the following: If …

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Transfer Learning for Text Classification Using Hugging Face Transformers Trainer Fine-tuning a pretrained transformer BERT model for customized sentiment analysis using transformer PyTorch Trainer from Hugging Face

Transfer Learning for Text Classification Using Hugging Face Transformers Trainer

Hugging Face provides three ways to fine-tune a pretrained text classification model: Tensorflow Keras, PyTorch, and transformer trainer. Transformer trainer is an API for feature-complete training in PyTorch without writing all the loops. This tutorial will use the transformer trainer to fine-tune a text classification model. We will talk about the following: Resources for this …

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Customized Sentiment Analysis: Transfer Learning Using Tensorflow with Hugging Face Fine-tune a pretrained transformer model for customized sentiment analysis using TensorFlow Keras with Hugging Face

Customized Sentiment Analysis: Transfer Learning Using Tensorflow with Hugging Face

Transfer learning is also called pretrained model fine-tuning. It refers to training a model with a small dataset while leveraging the stored information from a model trained with a large dataset for another task. In this tutorial, we will talk about how to use a small review dataset to build a sentiment prediction model while …

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