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
- Xet hash:
- 6a5a45334791a042c51a00c2efe45469e628092bfefd68d57286e8de24830d5c
- Size of remote file:
- 10.3 kB
- SHA256:
- 992fd5af8f7f0d8a896c219983e4fffd5a8fa1137621a251fe18c644b3307571
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