Instructions to use Sudheer17/sentiment_lstm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Sudheer17/sentiment_lstm with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Sudheer17/sentiment_lstm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f4e86167e39491f1fa4bab55c6bde1f70ecd82f08f0e069be2f75cfb7f8ab13
- Size of remote file:
- 275 Bytes
- SHA256:
- d83090821add90af4d957ff831e8f3e892135563e05de4fb015a828d580aa9ee
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