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sulavbcaa/nepali-summarization
nepali-summarization is a summarization model from sulavbcaa. Use it when you need a shorter version of a longer text. The card lists the license as mit.
This repository contains the local TextRank-based summarization implementation used in Sulav's Nepali Speech project.
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Updated Jun 3, 2026
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From the Hugging Face model README
This repository contains the local TextRank-based summarization implementation used in Sulav's Nepali Speech project.
It is not a trained Transformers checkpoint yet. The project backend uses these files directly for extractive summarization:
summarizer.pytokenizer.pyranker.pytext_rank/To use this as a Transformers model later, upload a trained summarization checkpoint with files such as config.json, model.safetensors or pytorch_model.bin, tokenizer files, and spiece.model.