fastc
A lightweight text classification tool using large language model embeddings.
Product Details
fastc is a simple and lightweight text classification tool based on large language model embeddings. It focuses on CPU execution and uses efficient models such as deepset/tinyroberta-6l-768d to generate embeddings. Text classification is achieved through cosine similarity classification instead of fine-tuning. It can also run multiple classifiers using the same model without adding additional overhead.
Main Features
How to Use
Target Users
The target audience is developers and data scientists who need to perform text classification. It is especially suitable for scenarios with limited computing resources or those who want to quickly deploy text classification models.
Examples
Social media sentiment analysis to quickly determine the emotional tendency of user comments.
Product review classification, automatically classifying user feedback as positive or negative.
Topic classification of news articles, automatically distributing news to corresponding topic columns.
Quick Access
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