explosion/curated-transformers

πŸ€– A PyTorch library of curated Transformer models and their composable components

48
/ 100
Emerging

This library helps machine learning engineers and researchers build and deploy advanced natural language processing models. It provides a structured way to work with state-of-the-art transformer models, including large language models like Llama and Falcon. Users can easily load pre-trained models from Hugging Face Hub and use them to generate text, classify documents, or perform other NLP tasks.

894 stars. No commits in the last 6 months. Available on PyPI.

Use this if you are a machine learning engineer or data scientist looking for a robust, production-tested library to implement and experiment with transformer models for text-based AI applications.

Not ideal if you are an end-user without programming experience seeking a ready-to-use application for text generation or analysis.

natural-language-processing large-language-models text-generation machine-learning-engineering deep-learning-research
Stale 6m
Maintenance 0 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 13 / 25

How are scores calculated?

Stars

894

Forks

35

Language

Python

License

MIT

Last pushed

Apr 17, 2024

Commits (30d)

0

Dependencies

5

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