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AnonymousSub
/
specter-bert-model

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

Instructions to use AnonymousSub/specter-bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AnonymousSub/specter-bert-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="AnonymousSub/specter-bert-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/specter-bert-model")
    model = AutoModel.from_pretrained("AnonymousSub/specter-bert-model")
  • Notebooks
  • Google Colab
  • Kaggle
specter-bert-model
438 MB
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  • 1 contributor
History: 6 commits
AnonymousSub's picture
AnonymousSub
Upload vocab.txt
210d51a over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    666 Bytes
    Upload config.json over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    Upload pytorch_model.bin with git-lfs over 4 years ago
  • special_tokens_map.json
    112 Bytes
    Upload special_tokens_map.json over 4 years ago
  • tokenizer_config.json
    564 Bytes
    Upload tokenizer_config.json over 4 years ago
  • vocab.txt
    232 kB
    Upload vocab.txt over 4 years ago