Instructions to use zeromodels/convnextv2_large_fcmae_ft_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/convnextv2_large_fcmae_ft_in1k with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/convnextv2_large_fcmae_ft_in1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2f4bc898f5e0e18fd324348aa7bb54d24ac0e839f990f9f55c08678341ed437
- Size of remote file:
- 793 MB
- SHA256:
- a9df71e3be31b63c43155db3d9db3c5cf1b1ad460b4bdc91e5553496e2221e08
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