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:
# !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://pollitoconpapass/intent_classification_model") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature586b353 -
Create README.md
Verified signature8edcf05 -
Upload tokenizer.json with huggingface_hub
Verified signature089ede4 -
Upload intent_classification_model.keras with huggingface_hub
Verified signature86cb6aa -
Upload tokenizer.json with huggingface_hub
Verified signature281fd4d -
Upload intent_classification_model.keras with huggingface_hub
Verified signatureedae917 -
initial commit
Verified signaturebdfade3