Instructions to use yasirfaizahmed/sentiment-text-classifications with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use yasirfaizahmed/sentiment-text-classifications with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://yasirfaizahmed/sentiment-text-classifications") - Notebooks
- Google Colab
- Kaggle
Download notes/custom/right_wrong_BC_model.ipynb from yasirfaizahmed/sentiment-text-classifications: direct link, hf CLI and curl.
- Browser
- Download file 20.2 kB
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https://huggingface.co/yasirfaizahmed/sentiment-text-classifications/resolve/main/notes/custom/right_wrong_BC_model.ipynb
- Command line
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hf download hf://yasirfaizahmed/sentiment-text-classifications/notes/custom/right_wrong_BC_model.ipynb
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curl -L -o right_wrong_BC_model.ipynb https://huggingface.co/yasirfaizahmed/sentiment-text-classifications/resolve/main/notes/custom/right_wrong_BC_model.ipynb
20.2 kB