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:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Gaurav20/Encoder_Model") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"name": "model_2",
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"model_type": "
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"layers": [{
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"class_name": "InputLayer",
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"config": {
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{
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"name": "model_2",
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"model_type": "bart",
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"layers": [{
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"class_name": "InputLayer",
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"config": {
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