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nlp-with-transformers avatar

nlp-with-transformers/notebooks

0
View on GitHub↗
4,779 stars·1,470 forks·Jupyter Notebook·Apache-2.0·16 viewstransformersbook.com↗

Notebooks

This project is a collection of transformer natural language processing tutorial notebooks and educational resources. It provides a guide for using the Hugging Face Transformers library through interactive coding exercises and demonstrations.

The repository contains ready-to-run Jupyter notebooks that provide practical examples for implementing transformer models. These resources demonstrate how to execute specific natural language processing workflows using pre-trained models.

The notebooks cover a range of natural language processing tasks, including text classification, automatic text summarization, and named entity recognition.

Features

  • NLP Learning Resources - Offers comprehensive NLP learning resources through guided examples and interactive coding exercises.
  • HuggingFace Transformers Loaders - Integrates the Hugging Face Transformers library to load pre-trained weights and tokenizers for various architectures.
  • Natural Language Processing - Implements natural language processing workflows including text classification, entity recognition, and summarization.
  • Transformer Architecture Implementation - Guides the implementation of transformer architectures for specific natural language processing tasks.
  • Transformer Language Models - Implements transformer-based language models to perform token classification and generation tasks.
  • Transformers Tutorials - Provides educational notebooks for loading, configuring, and fine-tuning Hugging Face transformer models.
  • Hugging Face Implementations - Provides a practical guide and implementation tutorials for using the Hugging Face Transformers library.
  • NLP Model Examples - Ships ready-to-run Jupyter notebooks containing practical NLP model examples and workflows.
  • Notebook Code Execution - Provides an interactive notebook-based execution model for step-by-step NLP model implementation and visualization.
  • Named Entity Recognition - Provides examples of named entity recognition to extract key entities from unstructured text.
  • Text Classification - Provides workflows for text classification to categorize data into predefined labels or sentiment groups.
  • Text Summarization - Demonstrates automatic text summarization using transformer models to condense long documents.

Star history

Star history chart for nlp-with-transformers/notebooksStar history chart for nlp-with-transformers/notebooks

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does nlp-with-transformers/notebooks do?

This project is a collection of transformer natural language processing tutorial notebooks and educational resources. It provides a guide for using the Hugging Face Transformers library through interactive coding exercises and demonstrations.

What are the main features of nlp-with-transformers/notebooks?

The main features of nlp-with-transformers/notebooks are: NLP Learning Resources, HuggingFace Transformers Loaders, Natural Language Processing, Transformer Architecture Implementation, Transformer Language Models, Transformers Tutorials, Hugging Face Implementations, NLP Model Examples.

What are some open-source alternatives to nlp-with-transformers/notebooks?

Open-source alternatives to nlp-with-transformers/notebooks include: huggingface/course — This project is an educational course and learning curriculum for implementing and fine-tuning transformer models… microsoft/nlp-recipes — nlp-recipes is a collection of implementation guides and reference templates for applying natural language processing… harderthenharder/transformers_tasks — Transformers Tasks is a collection of toolkits and scripts dedicated to language model fine-tuning, natural language… mesolitica/nlp-models-tensorflow — This repository provides a collection of deep learning models and neural network architectures built for natural… datawhalechina/thorough-pytorch — This project is an educational resource and comprehensive guide for implementing and deploying deep learning models… tingsongyu/pytorch_tutorial — This project is a comprehensive collection of educational examples and reference implementations for building vision…