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jonghyunlee
/
DrugLikeMoleculeBERT

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

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

  • Libraries
  • Transformers

    How to use jonghyunlee/DrugLikeMoleculeBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="jonghyunlee/DrugLikeMoleculeBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("jonghyunlee/DrugLikeMoleculeBERT")
    model = AutoModel.from_pretrained("jonghyunlee/DrugLikeMoleculeBERT")
  • Notebooks
  • Google Colab
  • Kaggle
DrugLikeMoleculeBERT
6.56 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
jonghyunlee's picture
jonghyunlee
Update README.md
9bebd7f over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • README.md
    1.57 kB
    Update README.md over 3 years ago
  • config.json
    621 Bytes
    add model over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    6.56 MB
    xet
    add model over 3 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer over 3 years ago
  • tokenizer_config.json
    434 Bytes
    add tokenizer over 3 years ago
  • vocab.txt
    159 Bytes
    add tokenizer over 3 years ago