jsksxs360/How-to-use-Transformers
A hands-on tutorial repository for learning the Hugging Face Transformers library covering NLP tasks like classification, NER, QA, summarization, and translation.
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This repository contains code examples and lessons for quickly getting started with the Hugging Face Transformers library. It covers fundamental NLP concepts including tokenization, sequence labeling, question answering, text summarization, and translation tasks. The tutorial is organized into background knowledge, getting started with Transformers, and practical NLP applications using pre-trained models.
Frequently asked
- What is jsksxs360/How-to-use-Transformers?
- A hands-on tutorial repository for learning the Hugging Face Transformers library covering NLP tasks like classification, NER, QA, summarization, and translation.
- Is How-to-use-Transformers open source?
- Yes — jsksxs360/How-to-use-Transformers is open source, released under the Apache-2.0 license.
- What language is How-to-use-Transformers written in?
- jsksxs360/How-to-use-Transformers is primarily written in Python.
- How popular is How-to-use-Transformers?
- jsksxs360/How-to-use-Transformers has 1.9k stars on GitHub.
- Where can I find How-to-use-Transformers?
- jsksxs360/How-to-use-Transformers is on GitHub at https://github.com/jsksxs360/How-to-use-Transformers.