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Magolor
/
deepstruct

Feature Extraction
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
4

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

  • Libraries
  • Transformers

    How to use Magolor/deepstruct with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Magolor/deepstruct")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Magolor/deepstruct")
    model = AutoModel.from_pretrained("Magolor/deepstruct")
  • Notebooks
  • Google Colab
  • Kaggle
deepstruct
Ctrl+K
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  • 2 contributors
History: 5 commits
wadefletch's picture
wadefletch
Add BERT default tokenizer, tokenizer_config, vocab
d37b455 verified almost 2 years ago
  • hub
    update MP almost 4 years ago
  • .DS_Store
    10.2 kB
    update MP almost 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    658 Bytes
    add model over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    add model over 4 years ago
  • tokenizer.json
    466 kB
    Add BERT default tokenizer, tokenizer_config, vocab almost 2 years ago
  • tokenizer_config.json
    48 Bytes
    Add BERT default tokenizer, tokenizer_config, vocab almost 2 years ago
  • vocab.txt
    232 kB
    Add BERT default tokenizer, tokenizer_config, vocab almost 2 years ago