Instructions to use VicGerardoPR/ReviewSentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use VicGerardoPR/ReviewSentiment with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://VicGerardoPR/ReviewSentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f89f470faf2b4005987c78a543eee76344ecabb5ab87a15529ed88cd53b24a2c
- Size of remote file:
- 4.8 MB
- SHA256:
- 6d5fbd6c4709795b7258e837f7c96bb5265e03e747f5b741c178c213ebf2175b
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