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qaconv-bert-large-uncased-whole-word-masking-squad2
Salesforce/qaconv-bert-large-uncased-whole-word-masking-squad2
qaconv-bert-large-uncased-whole-word-masking-squad2 is a question answering model from Salesforce. Use it when the input is a question plus a passage. It is set up for transformers.
This release is for research purposes only in support of an academic paper. Our models, datasets, and code are not specifically designed or evaluated for all downstream purposes. We strongly recommend users evaluate a…
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 14, 2025
- SHA
- c17baf6b
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Model card
From the Hugging Face model README
Ethical Considerations
This release is for research purposes only in support of an academic paper. Our models, datasets, and code are not specifically designed or evaluated for all downstream purposes. We strongly recommend users evaluate and address potential concerns related to accuracy, safety, and fairness before deploying this model. We encourage users to consider the common limitations of AI, comply with applicable laws, and leverage best practices when selecting use cases, particularly for high-risk scenarios where errors or misuse could significantly impact people’s lives, rights, or safety. For further guidance on use cases, refer to our AUP and AI AUP.
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- Jan 14, 2025