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GleghornLab
/
cdsBERT-plus

Feature Extraction
Transformers
PyTorch
bert
protein language model
biology
Model card Files Files and versions
xet
Community
3

Instructions to use GleghornLab/cdsBERT-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GleghornLab/cdsBERT-plus with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="GleghornLab/cdsBERT-plus")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("GleghornLab/cdsBERT-plus")
    model = AutoModel.from_pretrained("GleghornLab/cdsBERT-plus")
  • Notebooks
  • Google Colab
  • Kaggle
cdsBERT-plus
1.68 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
337728f over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.88 kB
    Update README.md over 2 years ago
  • config.json
    667 Bytes
    Update config.json over 2 years ago
  • model.safetensors
    840 MB
    xet
    Adding `safetensors` variant of this model over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.BFloat16Storage"

    What is a pickle import?

    840 MB
    xet
    Upload 5 files over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 5 files over 2 years ago
  • tokenizer_config.json
    426 Bytes
    Upload 5 files over 2 years ago
  • vocab.txt
    159 Bytes
    Upload 5 files over 2 years ago