Long-T5 Chapterization

An attempted implementation of the method used in podtail based on prechaptered youtube episodes. This model is fine-tuned from google/long-t5-tglobal-base on creator provided YouTube chapter annotation pairs.

Usage

This model is designed to segment long-form audio transcripts into semantically coherent chapters.

Methodology

Based on the approach discussed by the PodTile paper published by Spotify.

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Model size

0.3B params

Tensor type

F32

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google/long-t5-tglobal-base

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