Question-Answering-SQUAD and Question-Answering-model
These are direct competitors—both are fine-tuned BERT-family models trained on the SQuAD dataset for extractive question answering, with nearly identical architectures and use cases, so users would select one based on model size (DistilBERT vs. full BERT) and performance differences rather than using them together.
Maintenance
0/25
Adoption
6/25
Maturity
9/25
Community
17/25
Maintenance
0/25
Adoption
1/25
Maturity
9/25
Community
13/25
Stars: 19
Forks: 8
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 1
Forks: 2
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m
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Stale 6m
No Package
No Dependents
About Question-Answering-SQUAD
nlpunibo/Question-Answering-SQUAD
Question Answering model based on DistilBERT, trained and evaluated on the SQUAD dataset
About Question-Answering-model
PraveenKumarSridhar/Question-Answering-model
SQuAD - Question Answering model
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