Instructions to use Aeidle/sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Aeidle/sentiment-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Aeidle/sentiment-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8168e70db16989d0a55cfc10ca680ae7c52384b618690bcb17df9c9f8bdfad66
- Size of remote file:
- 190 MB
- SHA256:
- 2b1350d5acdbb1a5272386e894433348b65c7601ce7cd607097f507a91ed48e1
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