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Text_Summarizer
Saravananofficial/Text_Summarizer
Text_Summarizer is a machine learning model from Saravananofficial. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
An Abstractive text summarizer trained using lstm based sequence to sequence model with attention mechanisim. The attention model is used for generating each word of the summary conditioned on the input sentence.
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Apr 15, 2022
- Updated
- Apr 23, 2022
- SHA
- 9cb7b74f
Model card
From the Hugging Face model README
Text-Summarizer
About
An Abstractive text summarizer trained using lstm based sequence to sequence model with attention mechanisim. The attention model is used for generating each word of the summary conditioned on the input sentence.
- Used CNN_DailyMail dataset.
- Code + Deployment : https://www.youtube.com/watch?v=LFZBA99NOpU
Training Model Overview
loss graph
encoder-decoder overview
Conclusion
- 🫶 The machine learning model to convert a text document to abstract is done successfully.
- 🫶 Created a Flask app using an api call from this repository & deployed the app in heroku app.
Deployment:
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Apr 15, 2022
- Updated
- Apr 23, 2022