Update app.py
Browse files
app.py
CHANGED
@@ -151,8 +151,8 @@ st.markdown(
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For documents or text that is more than 500 words long, the app will divide the text into chunks and summarize each chunk.
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There are two models available to choose from:
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- Facebook-Bart, trained on large CNN Daily Mail articles
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- Sshleifer-Distilbart, which is a distilled version of the large Bart model
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Please do note that the model will take longer to generate summaries for documents that are too long"""
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)
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For documents or text that is more than 500 words long, the app will divide the text into chunks and summarize each chunk.
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There are two models available to choose from:
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+
- Facebook-Bart, trained on large [CNN and Daily Mail](https://huggingface.co/datasets/cnn_dailymail) news articles.
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- Sshleifer-Distilbart, which is a distilled (smaller) version of the large Bart model was trained on the CNN and Daily News articles as well.
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Please do note that the model will take longer to generate summaries for documents that are too long"""
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)
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