Instructions to use zeromodels/siglip_base_p16_multilingual_256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/siglip_base_p16_multilingual_256 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/siglip_base_p16_multilingual_256") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac00e922c00d9b4256d0bc32e0eb6d9dd793e94ed3f484f51fb2bbb3249e3d0f
- Size of remote file:
- 16.4 MB
- SHA256:
- babbf9fed5f505ac6b28fd820b5108ca6882332ce6b921c8d33f8ff69bf841d9
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