Instructions to use tejacherukuri/guided-context-gating with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use tejacherukuri/guided-context-gating with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://tejacherukuri/guided-context-gating") - Notebooks
- Google Colab
- Kaggle
Commit ·
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1
Parent(s): 6740b80
Add model weights and label encoder
Browse files- .gitattributes +1 -0
- gcg.weights.keras +3 -0
- labelencoder.pkl +3 -0
.gitattributes
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gcg.weights.keras filter=lfs diff=lfs merge=lfs -text
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gcg.weights.keras
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oid sha256:5143cd9b0d4bbebdf4944145e06913ea344fdf9969d2edbad92202cd5068f9e1
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size 84106704
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labelencoder.pkl
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size 775
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