Instructions to use zeromodels/siglip2_large_p16_384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/siglip2_large_p16_384 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/siglip2_large_p16_384") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cc2031661080cf926791605d802fb2fdeee15e0fffb5d76c860749ca16b678f
- Size of remote file:
- 34.4 MB
- SHA256:
- cb9140fae3ac5122c972d37adf83e1248471a38147ad76f8215c8872c6fd8322
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