June 6, 2024, 11:43 a.m. | /u/brunneis

Natural Language Processing www.reddit.com

I'm happy to introduce [fastc](https://github.com/EveripediaNetwork/fastc), a humble Python library designed to make text classification efficient and straightforward, especially in CPU environments. Whether you’re working on sentiment analysis, spam detection, or other text classification tasks, fastc is oriented for small models and avoids fine-tuning, making it perfect for resource-constrained settings. Despite its simple approach, the performance is quite good.

Key Features

* Focused on CPU execution: Use efficient models like deepset/tinyroberta-6l-768d for embedding generation.
* Cosine Similarity Classification: Instead of fine-tuning, …

class classification classifier classifiers cosine cpu deepset easy embedding embeddings export extra features fine-tuning huggingface key languagetechnology loading multiple text

Senior Data Engineer

@ Displate | Warsaw

Principal Software Engineer

@ Microsoft | Prague, Prague, Czech Republic

Sr. Global Reg. Affairs Manager

@ BASF | Research Triangle Park, NC, US, 27709-3528

Senior Robot Software Developer

@ OTTO Motors by Rockwell Automation | Kitchener, Ontario, Canada

Coop - Technical Service Hub Intern

@ Teradyne | Santiago de Queretaro, MX

Coop - Technical - Service Inside Sales Intern

@ Teradyne | Santiago de Queretaro, MX