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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://patrickbdevaney/sentiment_analysis") - Notebooks
- Google Colab
- Kaggle
Download sentiment_analysis_model.keras from patrickbdevaney/sentiment_analysis: direct link, hf CLI and curl.
- Browser
- Download file 6.44 MB
-
https://huggingface.co/patrickbdevaney/sentiment_analysis/resolve/main/sentiment_analysis_model.keras
- Command line
-
hf download hf://patrickbdevaney/sentiment_analysis/sentiment_analysis_model.keras
-
curl -L -o sentiment_analysis_model.keras https://huggingface.co/patrickbdevaney/sentiment_analysis/resolve/main/sentiment_analysis_model.keras
6.44 MB
- Xet hash:
- 93f637c60da6c6e33771bd54e861fea8d4b5f019f1c0653368d40fb3825d65d5
- Size of remote file:
- 6.44 MB
- SHA256:
- 4093bb62ce1f4c1e3e3807b9c6904c6415be6491b4e1d2409944cbb29f768fce
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