Instructions to use Neperl/bilingual-sentiment-comparison with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Neperl/bilingual-sentiment-comparison with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Neperl/bilingual-sentiment-comparison") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0dee32d7c57f670deeeb136b31fa7d697992721e669c30a5dc0541d29c1e60e
- Size of remote file:
- 17.1 MB
- SHA256:
- b7c3dd928f1e48cb67c2af5f9f7754e20704ed2ea20e7cb0b30ada3a4140532b
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