Instructions to use pollitoconpapass/intent_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use pollitoconpapass/intent_classification_model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://pollitoconpapass/intent_classification_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 155df531dd1614deca58e995d507d13d2014a0779e8d7f05e083639cd81c2a01
- Size of remote file:
- 485 kB
- SHA256:
- 0b5a8e2971bf960e11598df57fcdb76dbff9a7553cdb993055aa46da7219dbb6
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