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Hugging Face Pipelines

Machine Learning

About this opportunity

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

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