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Awesome GitHub RepositoriesTransformers Tutorials
Educational notebooks that guide users through loading, configuring, and fine-tuning Hugging Face transformer models for NLP tasks.
Distinct from Hugging Face: Distinct from Hugging Face model conversion: focuses on educational tutorials for using the Transformers library, not converting model formats.
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Awesome Transformers Tutorials GitHub Repositories
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- nlp-with-transformers/notebooks
nlp-with-transformers/notebooks
4,779Vezi pe GitHubThis 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 sum
Provides educational notebooks for loading, configuring, and fine-tuning Hugging Face transformer models.
Jupyter Notebook - huggingface/notebooks
huggingface/notebooks
4,468Vezi pe GitHubThis is a collection of Jupyter notebooks that serve as educational guides for training, fine-tuning, and deploying machine learning models within the Hugging Face ecosystem. The notebooks cover the full lifecycle of model development, from loading and configuring pre-trained transformers to packaging trained models for real-time inference via scalable endpoints. The notebooks demonstrate a range of capabilities including diffusion model training and fine-tuning for image generation and editing, transformer model adaptation for natural language processing tasks, and parameter-efficient fine-t
Ships guided notebooks for implementing transformer models for NLP tasks like question answering and text generation.
Jupyter Notebook
