Text-Summarizer and Text-Summarization
These are competitors offering overlapping functionality—both implement transformer-based text summarization with similar abstractive and extractive approaches, so users would typically select one based on model performance comparisons rather than use them together.
Maintenance
0/25
Adoption
6/25
Maturity
9/25
Community
16/25
Maintenance
0/25
Adoption
9/25
Maturity
16/25
Community
10/25
Stars: 19
Forks: 6
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 86
Forks: 7
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About Text-Summarizer
singhsidhukuldeep/Text-Summarizer
Comparing state of the art models for text summary generation
About Text-Summarization
aj-naik/Text-Summarization
Abstractive and Extractive Text summarization using Transformers.
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