abelriboulot/onnxt5
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
This project helps developers integrate powerful natural language processing (NLP) capabilities like summarization, translation, sentiment analysis, and text generation into their applications at high speed. You feed it raw text and a task command, and it rapidly returns the processed text or numerical representations (embeddings). It's designed for developers building text-based features or services where performance is crucial for shorter text inputs.
256 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a developer integrating text processing tasks like summarization or translation into an application and need fast performance for shorter text inputs.
Not ideal if your primary use case involves processing very long texts (over 500 words) where other solutions might offer better performance.
Stars
256
Forks
31
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 02, 2022
Commits (30d)
0
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