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malteos
/
specter-wol

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

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

  • Libraries
  • Transformers

    How to use malteos/specter-wol with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="malteos/specter-wol")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("malteos/specter-wol")
    model = AutoModel.from_pretrained("malteos/specter-wol")
  • Notebooks
  • Google Colab
  • Kaggle
specter-wol
898 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
9493d68 verified over 1 year ago
  • .gitattributes
    1.3 kB
    Adding `safetensors` variant of this model over 1 year ago
  • README.md
    290 Bytes
    Update README.md about 4 years ago
  • config.json
    601 Bytes
    Upload config.json about 4 years ago
  • model.safetensors
    440 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    440 MB
    xet
    Upload pytorch_model.bin with git-lfs about 4 years ago
  • specter-wol__train_triples.csv
    18.5 MB
    xet
    Upload specter-wol__train_triples.csv with git-lfs about 4 years ago