Hugging Face pipelines are a simple way to use pre-trained models for various NLP (Natural Language Processing) tasks without deep technical knowledge.

Pipelines are designed to be user-friendly and require minimal code. They are pretrained using powerful models trained on vast amounts of data.

Common NLP tasks with pipelines:
1. Text Classification: Categorize text into predefined labels (e.g., positive/negative sentiment).
2. Named Entity Recognition (NER): Identify and classify entities (like names, dates) in text.
3. Question Answering: Find answers to questions within a given context.
4. Text Generation: Generate text based on a given prompt.
5. Translation: Translate text from one language to another.
6. Summarization: Summarize long texts into shorter versions.

Hugging Face pipelines tutorial: https://rb.gy/l6r3jf
Building a custom pipeline: https://shorturl.at/CLpBq
YouTube playlist on pipelines: https://shorturl.at/uWkPt

Categories : Machine Learning

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