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Developed by: DeepChem
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Shared by [Optional]: DeepChem
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Model type: Token Classification
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Language(s) (NLP): More information needed
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License: More information needed
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Resources for more information: More information needed
More information needed.
More information needed.
The model should not be used to intentionally create hostile or alienating environments for people.
Significant research has explored bias and fairness issues with language models (see, e.g.,
Sheng et al. (2021) and
Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
More information needed.
1@book{Ramsundar-et-al-2019,
2 title={Deep Learning for the Life Sciences},
3 author={Bharath Ramsundar and Peter Eastman and Patrick Walters and Vijay Pande and Karl Leswing and Zhenqin Wu},
4 publisher={O'Reilly Media},
5 note={\url{https://www.amazon.com/Deep-Learning-Life-Sciences-Microscopy/dp/1492039837}},
6 year={2019}
7}
Use the code below to get started with the model.
