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beny2000
/
nama-test4

Image Feature Extraction
Transformers
PyTorch
roberta
custom_code
Model card Files Files and versions
xet
Community

Instructions to use beny2000/nama-test4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use beny2000/nama-test4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="beny2000/nama-test4", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("beny2000/nama-test4", trust_remote_code=True)
    model = AutoModel.from_pretrained("beny2000/nama-test4", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
nama-test4
499 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
beny2000's picture
beny2000
Upload model
0e956f2 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    653 Bytes
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  • configuration.py
    856 Bytes
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  • embedding_model.py
    4.33 kB
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  • embeddings.py
    26 kB
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  • match_groups.py
    30.1 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    499 MB
    xet
    Upload model almost 3 years ago
  • scoring.py
    5.99 kB
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  • scoring_model.py
    1.84 kB
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  • similarity_model.py
    14.7 kB
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