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:
- a72a36898948986d432c9706d7231f24befe2c7a349cb9e981dfe56bb8cfe8c5
- Size of remote file:
- 18.1 MB
- SHA256:
- cfeab9f97b10ce78ecd19b592df4094ab645ee5a153575b0fd40f0784f023f4c
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