SteliosGian/fastapi-celery-redis-flower
A FastAPI application with Redis, Celery, and Flower
This is a developer tool that provides a robust backend for machine learning applications, specifically for generating and serving text embeddings. It takes raw text data as input and produces high-performance text embeddings efficiently. This solution is ideal for backend and ML engineers building scalable text processing services.
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Use this if you are a backend or ML engineer needing to build a scalable, asynchronous service to generate and serve text embeddings from a large volume of text data.
Not ideal if you are looking for a pre-trained model or a user-facing application for text analysis, rather than a backend infrastructure for processing.
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Language
Python
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Last pushed
Mar 13, 2024
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