Instructions to use patrickbdevaney/sentiment_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use patrickbdevaney/sentiment_analysis with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://patrickbdevaney/sentiment_analysis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ab205553ed776a22876113f424b786275ecaf4f3112ad8b1626570fe7d5fee0
- Size of remote file:
- 2.11 MB
- SHA256:
- 94f921d7e3a76e7bcbb77d22041aff10b7e54d3754f2b29c414615530b3de676
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