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long-t5-chapterization
milz/long-t5-chapterization
long-t5-chapterization is a machine learning model from milz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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.
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At a glance
- License
- mit
- Model type
- longt5
- Access
- Public
- Created
- May 7, 2026
- Updated
- May 7, 2026
- SHA
- 4477cf10
Base models
Model card
From the Hugging Face model README
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.
- Type
- longt5
- License
- mit
- Created
- May 7, 2026
- Updated
- May 7, 2026