Instructions to use Blankyy/adaptive-norm-forced-post with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Blankyy/adaptive-norm-forced-post with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Blankyy/adaptive-norm-forced-post") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fd5f9c17aa606b1bd3d15375d7c8c83d1bc385c06c4c8db9a4901a74f926449
- Size of remote file:
- 182 MB
- SHA256:
- 69f76fabfa793b02c5172aa9b799f3924a219a2eb4bbbb2af5b78d6733b03e95
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