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Simple Transformers

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About

Simple Transformers is a Natural Language Processing (NLP) library aimed at simplifying the usage of Transformer models while maintaining utility. It is built on the Hugging Face Transformers library and is designed around common NLP tasks such as text classification, question answering, and language modeling. Each task has a task-specific model, ensuring a consistent but flexible approach. Scripts are typically concise, requiring minimal code to set up, making it beginner-friendly. This library provides common defaults and specific configurations for different NLP tasks, optimizing input data formats and producing ready-to-use outputs with little to no post-processing needed.

Platform
Web
Keywords
machine learningnlptext processingsimpletransformer
Task
nlp library
Features

• conversational ai

• question answering

• text classification

• language modeling

• language generation

• text representation generation

• multi-modal classification

• token classification

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