Instructions to use Gaurav20/Encoder_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Gaurav20/Encoder_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://Gaurav20/Encoder_Model") - Notebooks
- Google Colab
- Kaggle
Rename encoder_config.json to config.json
Browse files
encoder_config.json → config.json
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