LowinLi/fastgpt

⚡ boost inference speed of GPT models in transformers by onnxruntime

42
/ 100
Emerging

This tool helps developers who are building applications that use GPT-based models for text generation. It allows you to convert these models into a more efficient format, specifically ONNX, which significantly speeds up how quickly your application can generate text, especially on CPU hardware. You input an existing GPT model from the Hugging Face Transformers library and get back a faster, optimized version that seamlessly integrates into your current text generation code.

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

Use this if you are a developer using Hugging Face Transformers for text generation with GPT models and need to boost inference speed and reduce resource consumption on CPU.

Not ideal if you are not a developer, or if you are not using GPT models from the Hugging Face Transformers library for text generation tasks.

AI-application-development NLP-model-deployment model-optimization machine-learning-engineering
Stale 6m No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 25 / 25
Community 9 / 25

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Stars

52

Forks

4

Language

Python

License

MIT

Last pushed

Aug 20, 2023

Commits (30d)

0

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