Instructions to use hfzdzakii/Dicoding-PoemSentimentClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use hfzdzakii/Dicoding-PoemSentimentClassification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://hfzdzakii/Dicoding-PoemSentimentClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac3b95234bf64c94269a2e33e0edc7c1378fd4ab71b4a9d9c2e32466c52da4a4
- Size of remote file:
- 1.11 MB
- SHA256:
- aa4b4ac631b092fb9edaac18656c5a6a7bf62df4bbe7b39e7cb66c16c7944e6f
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