Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

jonghyunlee
/
ChemBERT_ChEMBL_pretrained

Feature Extraction
Transformers
PyTorch
bert
chemistry
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use jonghyunlee/ChemBERT_ChEMBL_pretrained with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="jonghyunlee/ChemBERT_ChEMBL_pretrained")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("jonghyunlee/ChemBERT_ChEMBL_pretrained")
    model = AutoModel.from_pretrained("jonghyunlee/ChemBERT_ChEMBL_pretrained")
  • Notebooks
  • Google Colab
  • Kaggle
ChemBERT_ChEMBL_pretrained
25.5 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
jonghyunlee's picture
jonghyunlee
Update README.md
7e55a0d over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.78 kB
    Update README.md over 2 years ago
  • config.json
    578 Bytes
    add model over 2 years ago
  • pytorch_model.bin
    25.5 MB
    xet
    add model over 2 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer over 2 years ago
  • tokenizer.json
    2.51 kB
    add tokenizer over 2 years ago
  • tokenizer_config.json
    328 Bytes
    add tokenizer over 2 years ago