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yairschiff
/
hf-issue-36653

Feature Extraction
Transformers
PyTorch
my_model
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use yairschiff/hf-issue-36653 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yairschiff/hf-issue-36653 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="yairschiff/hf-issue-36653", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("yairschiff/hf-issue-36653", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
hf-issue-36653
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  • 1 contributor
History: 3 commits
yairschiff's picture
yairschiff
Initial commit
4c437fc verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Initial commit about 1 year ago
  • backbone.py
    825 Bytes
    Initial commit about 1 year ago
  • config.json
    313 Bytes
    Initial commit about 1 year ago
  • modeling.py
    1.15 kB
    Initial commit about 1 year ago
  • modules.py
    356 Bytes
    Initial commit about 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    138 kB
    xet
    Initial commit about 1 year ago