Instructions to use ejunprung/SASB-ESG-Sentence-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use ejunprung/SASB-ESG-Sentence-Classifier with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("ejunprung/SASB-ESG-Sentence-Classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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| Heuristic | 31% | 34% |
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| SASB ESG Model | 71% | 61% |
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**Parent Category** = Environment, Social Capital, Human Capital, Business Model & Innovation, Leadership & Governance
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**Child Category** = GHG Emissions, Air Quality, etc. Please visit https://sasb.org/standards/materiality-finder to see full list.
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## Misc
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| Heuristic | 31% | 34% |
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| SASB ESG Model | 71% | 61% |
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**Parent Category** = Environment, Social Capital, Human Capital, Business Model & Innovation, Leadership & Governance<br>
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**Child Category** = GHG Emissions, Air Quality, etc. Please visit https://sasb.org/standards/materiality-finder to see full list.
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## Misc
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