Instructions to use layers2024/rnn-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use layers2024/rnn-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/rnn-sentiment") - Notebooks
- Google Colab
- Kaggle
| *.keras filter=lfs diff=lfs merge=lfs -text | |
| *.h5 filter=lfs diff=lfs merge=lfs -text | |