If someone is new to Hugging Face and wants to use it for Natural Language Processing (NLP) tasks (like sentiment analysis, text summarization, or translation), what is the best way to begin learning and using the Hugging Face Transformers library?
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First, it might be best to start by using an existing pre-trained model in the Pipeline before moving on to fine-tuning.
The HF LLM course includes chapters that were once part of the NLP course, so reading these should give you a solid foundation.