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Using Transformer Pipelines

Explore how to integrate HuggingFace transformer pipelines with spaCy to perform NLP tasks like sentiment analysis and question answering. Learn to create and use pipeline objects, handle input data, and interpret outputs to leverage pre-trained transformer models without custom training.

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The HuggingFace Transformers library provides pipelines to help developers benefit from transformer code immediately without any custom training. A pipeline is a tokenizer and a pre-trained model combined.

HuggingFace provides a variety of models for a variety of NLP tasks. Here are some tasks that HuggingFace pipelines offer: ...