Instructions to use layers2024/lstm-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use layers2024/lstm-sentiment with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://layers2024/lstm-sentiment") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 943093b
Add trained model
Browse files- lstm_model.keras +1 -1
lstm_model.keras
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