Hugging Face Flashcards

Hugging Face is an AI company known for open-source libraries and tools for building and deploying natural language processing (NLP) models.

A Python library by Hugging Face that provides pre-trained models for NLP tasks like classification, translation, and summarization.

Models trained on large datasets that can be fine-tuned for specific tasks, saving time and computation.

An open-source library for easily accessing, cleaning, and loading datasets for NLP and ML experiments.

A fast, flexible library for preparing text input for NLP models by converting text into tokens.

A centralized platform for hosting, sharing, and discovering ML models, datasets, and demos.

A simple interface to use pre-trained models for common tasks like sentiment analysis, summarization, etc.

Tasks include text classification, translation, question answering, text generation, image classification, and audio processing.

Yes, models can be deployed using secured endpoints, API keys, and integrated with cloud services.

Researchers, data scientists, developers, and companies like Google, Microsoft, and Meta use it for NLP and GenAI.

Yes. Hugging Face provides tools for easy fine-tuning on custom datasets using minimal code.

A library to simplify training across multiple GPUs and hardware setups without boilerplate code.