osainz59/Ask2Transformers
A Framework for Textual Entailment based Zero Shot text classification
This tool helps you automatically categorize text and extract relationships from it, even for topics you haven't specifically trained a system on. You provide raw text and a list of potential categories or relationships, and it tells you which ones apply. This is ideal for data analysts, content managers, or researchers who need to quickly sort or analyze unstructured text data without extensive setup.
153 stars. No commits in the last 6 months.
Use this if you need to quickly label text (like articles, emails, or social media posts) into predefined categories or identify specific relationships between entities within text, without needing large, pre-labeled datasets for every new topic.
Not ideal if you require fine-grained classification where nuances are critical and a dedicated, extensively trained model would provide superior accuracy for a specific, well-defined task.
Stars
153
Forks
13
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 18, 2024
Commits (30d)
0
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