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Arabic-Clip
/
Arabert-v2-base-ViT-B-16-SigLIP-512-2M

Keras
PyTorch
google-tensorflow TensorFlow
bert
Model card Files Files and versions
xet
Community
1

Instructions to use Arabic-Clip/Arabert-v2-base-ViT-B-16-SigLIP-512-2M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use Arabic-Clip/Arabert-v2-base-ViT-B-16-SigLIP-512-2M with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://Arabic-Clip/Arabert-v2-base-ViT-B-16-SigLIP-512-2M")
    
  • Notebooks
  • Google Colab
  • Kaggle
Arabert-v2-base-ViT-B-16-SigLIP-512-2M
3.79 GB
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  • 1 contributor
History: 2 commits
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pain
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  • .gitattributes
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  • Arabert-v2-base-ViT-B-16-SigLIP-512-2M.keras
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  • Arabert-v2-base-ViT-B-16-SigLIP-512-2M.pickle

    Detected Pickle imports (3)

    • "numpy.ndarray",
    • "numpy.dtype",
    • "numpy.core.multiarray._reconstruct"

    What is a pickle import?

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  • README.md
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  • config.json
    729 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    541 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tf_model.h5
    541 MB
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  • tokenizer.json
    1.68 MB
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  • tokenizer_config.json
    785 Bytes
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  • vocab.txt
    656 kB
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