named entity recognition

[NLP with Transformers] Fine-tuning Pre-trained Transformer Models

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Transfer Learning and Fine-tuning Concepts: Loading and Using Pre-trained Models from HuggingFace: Customizing Model Architectures and Hyperparameters: Fine-tuning Example: Sentiment Analysis Don’t forget to modify the code to fit your unique NLP task and dataset. A rudimentary example of sentiment analysis utilizing a binary classification problem is shown in the provided code. By fine-tuning pre-trained … Read more

[NLP with Transformers] Text Preprocessing for NLP

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Tokenization and Subword Encoding: Output: Handling Special Tokens and Padding: Output: Data Cleaning and Normalization Techniques: Output: These sample codes show how to use HuggingFace’s Tokenizers library and regular expressions to accomplish tokenization, subword encoding, managing special tokens and padding, as well as data cleaning and normalization procedures. Based on your unique NLP goals and … Read more