Huggingface : Text Clustering
Date : 2024-01-12
Description
This summary was drafted with mixtral-8x7b-instruct-v0.1.Q5_K_M.gguf
The Text Clustering repository by HuggingFace serves as a minimal codebase for clustering texts. It contains a pipeline that uses existing standard methods such as Sentence Transformers, UMAP, Faiss, Plotly, Matplotlib, and Scikit-learn. The pipeline consists of several distinct blocks that can be customized and run in a few minutes on a consumer laptop. This repository also provides an example of clustering and topic labeling applied to the AutoMathText dataset, utilizing Cosmopedia's web labeling approach.
GitHub repo here
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