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:
- 93f637c60da6c6e33771bd54e861fea8d4b5f019f1c0653368d40fb3825d65d5
- Size of remote file:
- 6.44 MB
- SHA256:
- 4093bb62ce1f4c1e3e3807b9c6904c6415be6491b4e1d2409944cbb29f768fce
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