Instructions to use Saravananofficial/Text_Summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saravananofficial/Text_Summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Saravananofficial/Text_Summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("Saravananofficial/Text_Summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## Conclusion
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## Conclusion
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- 🫶 The machine learning model to convert a text document to abstract is done successfully.
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- 🫶 On additive to it, will create a Flask app using an api call from this repository & deploy the app in heroku app.
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## Deployments:
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- 🫶
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