Instructions to use TeamResearch/Catch-Emotion-CLF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use TeamResearch/Catch-Emotion-CLF with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://TeamResearch/Catch-Emotion-CLF") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21baf62a27a20c6ad6c6e1fb252e5ff6620c3fe9fdcf68f0ec9e8b3263bd8fa9
- Size of remote file:
- 18.8 MB
- SHA256:
- 2a20defc5e984a6759aa152c66ec3f15425bffbea7dc079683610069c32ca4df
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