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Linseypass
/
scielectra

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

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

  • Libraries
  • Transformers

    How to use Linseypass/scielectra with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Linseypass/scielectra")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Linseypass/scielectra")
    model = AutoModel.from_pretrained("Linseypass/scielectra")
  • Notebooks
  • Google Colab
  • Kaggle
scielectra
55 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Linsey Passarella (8lp)
First model version
d62bea4 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • added_tokens.json
    16 Bytes
    First model version about 3 years ago
  • config.json
    788 Bytes
    First model version about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    54 MB
    xet
    First model version about 3 years ago
  • special_tokens_map.json
    152 Bytes
    First model version about 3 years ago
  • tokenizer.json
    712 kB
    First model version about 3 years ago
  • tokenizer_config.json
    341 Bytes
    First model version about 3 years ago
  • vocab.txt
    232 kB
    First model version about 3 years ago