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Raghavan
/
beit3_base_patch16_384_coco_retrieval

Transformers
PyTorch
beit3
Model card Files Files and versions
xet
Community

Instructions to use Raghavan/beit3_base_patch16_384_coco_retrieval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Raghavan/beit3_base_patch16_384_coco_retrieval with Transformers:

    # Load model directly
    from transformers import Beit3ForImageTextRetrieval
    model = Beit3ForImageTextRetrieval.from_pretrained("Raghavan/beit3_base_patch16_384_coco_retrieval", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
beit3_base_patch16_384_coco_retrieval
891 MB
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  • 1 contributor
History: 6 commits
Raghavan's picture
Raghavan
Upload 7 files
31dc271 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    21 Bytes
    initial commit over 2 years ago
  • added_tokens.json
    75 Bytes
    Upload 7 files over 2 years ago
  • config.json
    714 Bytes
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  • preprocessor_config.json
    481 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    890 MB
    xet
    Upload 7 files over 2 years ago
  • sentencepiece.bpe.model
    1.36 MB
    xet
    Upload 6 files over 2 years ago
  • special_tokens_map.json
    167 Bytes
    Upload 7 files over 2 years ago
  • tokenizer_config.json
    1.23 kB
    Upload 7 files over 2 years ago